Semantic Parsing

Notes:

Semantic parsing is the process of converting a natural language input into a formal representation of the meaning of that input, typically in the form of a logical representation or a machine-readable meaning representation. This allows a computer to understand and reason about the meaning of the input, and to generate appropriate responses or actions based on that understanding.

Semantic parsing is often used in dialog systems to understand the meaning of user inputs and generate appropriate responses. For example, if a user asks a virtual assistant “What is the weather like today?”, the semantic parser would convert the natural language input into a representation that the system can understand and use to generate a response, such as “It is currently 60 degrees and sunny.”

Semantic parsers can be trained on large datasets of annotated natural language inputs and their corresponding meaning representations, using techniques from natural language processing and machine learning. They can be used in a variety of applications, including language translation, information extraction, and question answering.

Resources:

See also:

Natural Language Parsing

Lexical generalization in CCG grammar induction for semantic parsing T Kwiatkowski, L Zettlemoyer, S Goldwater… – Proceedings of the …, 2011 – dl.acm.org Abstract We consider the problem of learning factored probabilistic CCG grammars for semantic parsing from data containing sentences paired with logical-form meaning representations. Traditional CCG lexicons list lexical items that pair words and phrases … Cited by 48 Related articles All 10 versions

Confidence driven unsupervised semantic parsing D Goldwasser, R Reichart, J Clarke… – Proceedings of the 49th …, 2011 – dl.acm.org Abstract Current approaches for semantic parsing take a supervised approach requiring a considerable amount of training data which is expensive and difficult to obtain. This supervision bottleneck is one of the major difficulties in scaling up semantic parsing. Cited by 35 Related articles All 11 versions

Semantic Parsing for Text to 3D Scene Generation AX Chang, M Savva, CD Manning – ACL 2014, 2014 – ling.uni-potsdam.de We propose text-to-scene generation as an application for semantic parsing. This is an application that grounds semantics in a virtual world that requires understanding of common, everyday language. In text to scene generation, the user provides a textual description … Cited by 1

Driving semantic parsing from the world’s response J Clarke, D Goldwasser, MW Chang… – Proceedings of the …, 2010 – dl.acm.org Abstract Current approaches to semantic parsing, the task of converting text to a formal meaning representation, rely on annotated training data mapping sentences to logical forms. Providing this supervision is a major bottleneck in scaling semantic parsers. This paper … Cited by 65 Related articles All 16 versions

Probabilistic frame-semantic parsing D Das, N Schneider, D Chen, NA Smith – Human language technologies …, 2010 – dl.acm.org Abstract This paper contributes a formalization of frame-semantic parsing as a structure prediction problem and describes an implemented parser that transforms an English sentence into a frame-semantic representation. It finds words that evoke FrameNet frames, … Cited by 71 Related articles All 5 versions

Joint learning of words and meaning representations for open-text semantic parsing A Bordes, X Glorot, J Weston… – International …, 2012 – machinelearning.wustl.edu Abstract Open-text semantic parsers are designed to interpret any statement in natural language by inferring a corresponding meaning representation (MR–a formal representation of its sense). Unfortunately, large scale systems cannot be easily machine-learned due to … Cited by 26 Related articles All 14 versions

UW SPF: The University of Washington Semantic Parsing Framework Y Artzi, L Zettlemoyer – arXiv preprint arXiv:1311.3011, 2013 – yoavartzi.com The University of Washington Semantic Parsing Framework (SPF) is a learning and inference framework for mapping natural language to formal representation of its meaning. SPF uses Combinatory Categorial Grammars (CCGs)(Steedman, 2000, 2011; Steedman … Cited by 3 Related articles All 3 versions

A Bayesian model for unsupervised semantic parsing I Titov, A Klementiev – Proceedings of the 49th Annual Meeting of the …, 2011 – dl.acm.org Abstract We propose a non-parametric Bayesian model for unsupervised semantic parsing. Following Poon and Domingos (2009), we consider a semantic parsing setting where the goal is to (1) decompose the syntactic dependency tree of a sentence into fragments,(2) … Cited by 30 Related articles All 15 versions

Semi-supervised frame-semantic parsing for unknown predicates D Das, NA Smith – Proceedings of the 49th Annual Meeting of the …, 2011 – dl.acm.org Abstract We describe a new approach to disambiguating semantic frames evoked by lexical predicates previously unseen in a lexicon or annotated data. Our approach makes use of large amounts of unlabeled data in a graph-based semi-supervised learning framework. … Cited by 26 Related articles All 8 versions

Stochastic models for semantic parsing, multi-faceted topic discovery, and causal event inference: Perspectives from natural language processing. R Girju – ICCV Workshops, 2011 – vcla.stat.ucla.edu [Saturday’s snowfall] TEMP topped [a record in Hartford, Connecticut] LOC with [the total of 12.5 inches] MEASURE,[the weather service] TOPIC said. The storm claimed its fatality Thursday when [a car driven by a [college student] PART-WHOLE] THEME skidded on [an … All 2 versions

Semantic parsing with bayesian tree transducers BK Jones, M Johnson, S Goldwater – … of the 50th Annual Meeting of the …, 2012 – dl.acm.org Abstract Many semantic parsing models use tree transformations to map between natural language and meaning representation. However, while tree transformations are central to several state-of-the-art approaches, little use has been made of the rich literature on tree … Cited by 9 Related articles All 8 versions

Frame-semantic parsing D Das, D Chen, AFT Martins, N Schneider… – Computational …, 2014 – MIT Press FrameNet (Fillmore, Johnson, and Petruck 2003) is a linguistic resource storing considerable information about lexical and predicate-argument semantics in English. Grounded in the theory of frame semantics (Fillmore 1982), it suggests—but does not … Cited by 15 Related articles All 6 versions

An exact dual decomposition algorithm for shallow semantic parsing with constraints D Das, AFT Martins, NA Smith – … of the First Joint Conference on Lexical …, 2012 – dl.acm.org Abstract We present a novel technique for jointly predicting semantic arguments for lexical predicates. The task is to find the best matching between semantic roles and sentential spans, subject to structural constraints that come from expert linguistic knowledge (eg, in … Cited by 15 Related articles All 11 versions

Semantic Parsing with Combinatory Categorial Grammars. Y Artzi, N FitzGerald, LS Zettlemoyer – ACL (Tutorial Abstracts), 2013 – stanford.edu Page 1. Semantic Parsing with Combinatory Categorial Grammars Yoav Artzi, Nicholas FitzGerald and Luke Zettlemoyer … Works well with careful initialization • Modifications for semantic parsing -Lots of different hidden information -Can add a margin constraint, do … Cited by 1 All 6 versions

Semantic Parsing on Freebase from Question-Answer Pairs. J Berant, A Chou, R Frostig, P Liang – EMNLP, 2013 – aclweb.org Abstract In this paper, we train a semantic parser that scales up to Freebase. Instead of relying on annotated logical forms, which is especially expensive to obtain at large scale, we learn from question-answer pairs. The main challenge in this setting is narrowing down … Cited by 24 Related articles All 12 versions

Towards open-text semantic parsing via multi-task learning of structured embeddings A Bordes, X Glorot, J Weston, Y Bengio – arXiv preprint arXiv:1107.3663, 2011 – arxiv.org Abstract: Open-text (or open-domain) semantic parsers are designed to interpret any statement in natural language by inferring a corresponding meaning representation (MR). Unfortunately, large scale systems cannot be easily machine-learned due to lack of … Cited by 2 Related articles All 4 versions

Formalizing semantic parsing with tree transducers BK Jones, M Johnson, S Goldwater – Proceedings of ALTA Workshop, 2011 – aclweb.org Abstract This paper introduces tree transducers as a unifying theory for semantic parsing models based on tree transformations. Many existing models use tree transformations, but implement specialized training and smoothing methods, which makes it difficult to modify … Cited by 1 Related articles All 8 versions

A semantic parsing approach for Bhutanese language of Dzongkha PV Arun – International Journal of Speech Technology, 2014 – Springer Abstract Developments in the computational analysis of Dzongkha have been limited due to the syntactic complexity of the language. Though the natural language processing domains have witnessed rapid developments over the past decade; very few works has been done … Related articles All 4 versions

Semantic parsing of street scenes from video B Micusik, J Košecká, G Singh – The International Journal of …, 2012 – ijr.sagepub.com Abstract Semantic models of the environment can significantly improve navigation and decision making capabilities of autonomous robots or enhance level of human and robot interaction. We present a novel approach for semantic segmentation of street scene … Cited by 6 Related articles All 8 versions

Joint syntactic and semantic parsing of Chinese J Li, G Zhou, HT Ng – Proceedings of the 48th Annual Meeting of the …, 2010 – dl.acm.org Abstract This paper explores joint syntactic and semantic parsing of Chinese to further improve the performance of both syntactic and semantic parsing, in particular the performance of semantic parsing (in this paper, semantic role labeling). This is done from … Cited by 23 Related articles All 20 versions

Semantic parsing using word confusion networks with conditional random fields. G Tür, A Deoras, D Hakkani-Tür – INTERSPEECH, 2013 – msr-waypoint.com Abstract A challenge in large vocabulary spoken language understanding (SLU) is robustness to automatic speech recognition (ASR) errors. The state of the art approaches for semantic parsing rely on using discriminative sequence classification methods, such as … Cited by 6 Related articles All 6 versions

Generative alignment and semantic parsing for learning from ambiguous supervision J Kim, RJ Mooney – Proceedings of the 23rd International Conference on …, 2010 – dl.acm.org Abstract We present a probabilistic generative model for learning semantic parsers from ambiguous supervision. Our approach learns from natural language sentences paired with world states consisting of multiple potential logical meaning representations. It … Cited by 19 Related articles All 10 versions

Exploiting the Semantic Web for Unsupervised Natural Language Semantic Parsing. G Tür, M Jeong, YY Wang… – …, 2012 – 20.210-193-52.unknown.qala.com. … Abstract In this paper, we propose to bring together the semantic web experience and statistical natural language semantic parsing modeling. The idea is that, the process for populating knowledgebases by semantically parsing structured web pages may provide … Cited by 11 Related articles All 7 versions

Semantic parsing via paraphrasing J Berant, P Liang – Proceedings of ACL, 2014 – nlp.stanford.edu Abstract A central challenge in semantic parsing is handling the myriad ways in which knowledge base predicates can be expressed. Traditionally, semantic parsers are trained primarily from text paired with knowledge base information. Our goal is to exploit the much … Cited by 6 Related articles All 4 versions

Semantic Parsing: The Task, the State-of-the-Art and the Future RJ Kate, YW Wong – Tutorial Abstracts of ACL 2010}, 2010 – aclweb.org Semantic parsing is the task of mapping natural language sentences into complete formal meaning representations which a computer can execute for some domain-specific application. This is a challenging task and is critical for developing computing systems that … Cited by 1 All 2 versions

Semantics for Semantic Parsing M Steedman – 2014 – sp14.ws Page 1. Semantics for Semantic Parsing Mark Steedman (with Mike Lewis, Siva Reddy, and Mirella Lapata) 26 June 2014 Steedman … 26 June 2014 Page 2. 1 Semantic Parsing: The First Ten Years • The term “Semantic Parsing” refers to two distinct programs: …

Unsupervised induction and filling of semantic slots for spoken dialogue systems using frame-semantic parsing YN Chen, WY Wang, AI Rudnicky – … Speech Recognition and …, 2013 – ieeexplore.ieee.org ABSTRACT Spoken dialogue systems typically use predefined semantic slots to parse users’ natural language inputs into unified semantic representations. To define the slots, domain experts and professional annotators are often involved, and the cost can be … Cited by 3 Related articles All 5 versions

Vector space semantic parsing: A framework for compositional vector space models J Krishnamurthy, TM Mitchell – ACL 2013, 2013 – aclweb.org Abstract We present vector space semantic parsing (VSSP), a framework for learning compositional models of vector space semantics. Our framework uses Combinatory Categorial Grammar (CCG) to define a correspondence between syntactic categories and … Cited by 2 Related articles All 10 versions

Leveraging domain-independent information in semantic parsing D Goldwasser, D Roth – Urbana, 2013 – aclweb.org Abstract Semantic parsing is a domain-dependent process by nature, as its output is defined over a set of domain symbols. Motivated by the observation that interpretation can be decomposed into domain-dependent and independent components, we suggest a novel … Cited by 2 Related articles All 8 versions

Semantic parsing freebase: Towards open-domain semantic parsing Q Cai, A Yates – Atlanta, Georgia, USA, 2013 – aclweb.org Abstract Existing semantic parsing research has steadily improved accuracy on a few domains and their corresponding databases. This paper introduces FreeParser, a system that trains on one domain and one set of predicate and constant symbols, and then can … Cited by 6 Related articles All 9 versions

A Semantic Parsing Model Applied into Search Engine Y Li, XF Wei, YH Chi – Advanced Materials Research, 2013 – Trans Tech Publ Page 1. A Semantic Parsing Model Applied into Search Engine LI Ying 1, a , WEI Xiang Feng 2,b and CHI Yu Huan 2,c 1Academy of Armored Force Engineering, China … Keywords: Natural language processing. Semantic parsing model. Conceptual Structures. … Related articles All 3 versions

Opinion target extraction using a shallow semantic parsing framework S Li, R Wang, G Zhou – Twenty-Sixth AAAI Conference on Artificial …, 2012 – aaai.org Abstract In this paper, we present a simplified shallow semantic parsing approach to extracting opinion targets. This is done by formulating opinion target extraction (OTE) as a shallow semantic parsing problem with the opinion expression as the predicate and the … Cited by 4 Related articles

Learning a Lexicon for Broad-Coverage Semantic Parsing JF Allen – ACL 2014, 2014 – acl2014.org Abstract While there has been significant recent work on learning semantic parsers for specific task/domains, the results don’t transfer from one domain to another domains. We describe a project to learn a broad-coverage semantic lexicon for domain independent …

Study of Chaperone Robot Based on Maximum Entropy Model Semantic Parsing M Huang, H Wang, X Liang – Journal of Dalian Jiaotong University, 2011 – en.cnki.com.cn The importance of semantic parsing is described, and a method that using the maximum entropy model for training in daily conversation is introduced. By the training results, the summary set of regulations is obtained. Using semantic analysis based on semantic … Related articles All 2 versions

Nonparametric scene parsing with adaptive feature relevance and semantic context G Singh, J Kosecka – Computer Vision and Pattern Recognition …, 2013 – ieeexplore.ieee.org … The approach is validated by experiments on several datasets used for semantic parsing demonstrating the superiority of the method compared to the state of art approaches. 1. Introduction … [18] B. Micusik, J. Košecká, and G. Singh. Semantic parsing of street scenes from … Cited by 6 Related articles All 9 versions

Learning the scope of negation via shallow semantic parsing J Li, G Zhou, H Wang, Q Zhu – … of the 23rd International Conference on …, 2010 – dl.acm.org Abstract In this paper we present a simplified shallow semantic parsing approach to learning the scope of negation (SoN). This is done by formulating it as a shallow semantic parsing problem with the negation signal as the predicate and the negation scope as its … Cited by 14 Related articles All 9 versions

A unified framework for scope learning via simplified shallow semantic parsing Q Zhu, J Li, H Wang, G Zhou – Proceedings of the 2010 Conference on …, 2010 – dl.acm.org Abstract This paper approaches the scope learning problem via simplified shallow semantic parsing. This is done by regarding the cue as the predicate and mapping its scope into several constituents as the arguments of the cue. Evaluation on the BioScope corpus … Cited by 12 Related articles All 9 versions

Semantic Parsing as Machine Translation. J Andreas, A Vlachos, S Clark – ACL (2), 2013 – aclweb.org Abstract Semantic parsing is the problem of deriving a structured meaning representation from a natural language utterance. Here we approach it as a straightforward machine translation task, and demonstrate that standard machine translation components can be … Cited by 2 Related articles All 8 versions

Dependency-Based Semantic Parsing for Concept-Level Text Analysis S Poria, B Agarwal, A Gelbukh, A Hussain… – … and Intelligent Text …, 2014 – Springer Abstract Concept-level text analysis is superior to word-level analysis as it preserves the semantics associated with multi-word expressions. It offers a better understanding of text and helps to significantly increase the accuracy of many text mining tasks. Concept … Cited by 6 Related articles All 6 versions

RoBox: CCG with Structured Perceptron for Supervised Semantic Parsing of Robotic Spatial Commands K Evang, J Bos – Proceedings of the International Workshop on …, 2014 – alt.qcri.org Abstract We use a Combinatory Categorial Grammar (CCG) parser with a structured perceptron learner to address Shared Task 6 of SemEval-2014, Supervised Semantic Parsing of Robotic Spatial Commands. Our system reaches an accuracy of 79% ignoring … Cited by 1

Leveraging knowledge graphs for web-scale unsupervised semantic parsing. LP Heck, D Hakkani-Tür, G Tür – INTERSPEECH, 2013 – research.microsoft.com Abstract The past decade has seen the emergence of web-scale structured and linked semantic knowledge resources (eg, Freebase, DB-Pedia). These semantic knowledge graphs provide a scalable “schema for the web”, representing a significant opportunity for … Cited by 4 Related articles All 6 versions

Efficient latent structural perceptron with hybrid trees for semantic parsing J Zhou, J Xu, W Qu – Proceedings of the Twenty-Third international joint …, 2013 – dl.acm.org Abstract Discriminative structured prediction models have been widely used in many natural language processing tasks, but it is challenging to apply the method to semantic parsing. In this paper, by introducing hybrid tree as a latent structure variable to close the gap … Related articles All 4 versions

A Deep Architecture for Semantic Parsing E Grefenstette, P Blunsom, N de Freitas… – arXiv preprint arXiv: …, 2014 – arxiv.org Abstract: Many successful approaches to semantic parsing build on top of the syntactic analysis of text, and make use of distributional representations or statistical models to match parses to ontology-specific queries. This paper presents a novel deep learning … Related articles All 3 versions

Evaluation of semantic role labeling and dependency parsing of automatic speech recognition output B Favre, B Bohnet… – Acoustics Speech and …, 2010 – ieeexplore.ieee.org … Index Terms— Evaluation, Semantic Role Labeling, Depen- dency Parsing, Automatic Speech Recognition 1. INTRODUCTION Semantic Role Labeling (SRL), also known as Shallow Semantic Parsing, consists of extracting surface meaning in human language. … Cited by 4 Related articles All 7 versions

Improved models of syntactic-semantic parsing, for English and French. L van der Plas, J Henderson, P Merlo – 2011 – wcms.inf.ed.ac.uk Executive summary This document describes the Prototype deliverable 2.5, due at month 36 of the CLASSIC project. The prototype is an improved syntactic-semantic parsing architecture, applied to both English and French. This document presents an overview of … Related articles All 2 versions

Evaluating FrameNet-style semantic parsing: the role of coverage gaps in FrameNet A Palmer, C Sporleder – … of the 23rd International Conference on …, 2010 – dl.acm.org Abstract Supervised semantic role labeling (SRL) systems are generally claimed to have accuracies in the range of 80% and higher (Erk and Padó, 2006). These numbers, though, are the result of highly-restricted evaluations, ie, typically evaluating on hand-picked … Cited by 11 Related articles All 8 versions

A Semantic Parsing Model Applied into Search Engine LI Ying, WEIX Feng, CHIY Huan – 2013 – atlantis-press.com Abstract. It is a tough work to select accurate web pages for search engine. This paper applied a semantic parsing model into search engine by comparing the conceptual structures between user’s input and text. The words, sentences and sentence groups can … Related articles

Semantic Parsing of Street Scene Images Using 3D LiDAR Point Cloud P Babahajiani, L Fan, M Gabbouj – Computer Vision Workshops …, 2013 – ieeexplore.ieee.org Abstract In this paper we propose a novel street scene semantic parsing framework, which takes advantage of 3D point clouds captured by a high-definition LiDAR laser scanner. Local 3D geometrical features extracted from subsets of point clouds are classified by … Related articles All 5 versions

Using Shallow Semantic Parsing and Relation Extraction for Finding Contradiction in Text MQN Pham, ML Nguyen, A Shimazu – 2013 – dspace.jaist.ac.jp ??: The problem of text representation is an important issue in textual inference tasks. Given the fact that full predicate-logic analysis is not practical in wide-coverage semantic processing, using shallow semantic representations is an intuitive and straightforward … Related articles All 4 versions

Learning compositional semantics for open domain semantic parsing P Le, W Zuidema – 2012 – dare.uva.nl Abstract This paper introduces a new approach to learning compositional semantics for open domain semantic parsing. Our approach is called Dependency-based Semantic Composition using Graphs (DeSCoG) and deviates from existing approaches in several … Cited by 3 Related articles All 7 versions

Shrdlite: Semantic Parsing using a Handmade Grammar P Ljunglöf – Proceedings of the International Workshop on …, 2014 – alt.qcri.org Abstract This paper describes my approach for parsing robot commands, which was task 6 at SemEval 2014. My solution is to manually create a compact unification grammar. The grammar is highly ambiguous, and relies heavily on filtering the parse results by checking … Cited by 1

Semantic parsing for biomedical event extraction D Zhou, Y He – Proceedings of the Ninth International Conference on …, 2011 – dl.acm.org Abstract We propose a biomedical event extraction system, HVS-BioEvent, which employs the hidden vector state (HVS) model for semantic parsing. Biomedical events extraction needs to deal with complex events consisting of embedded or hierarchical relations … Cited by 1 Related articles All 7 versions

Joint arc-factored parsing of syntactic and semantic dependencies X Lluís, X Carreras, L Màrquez – 2013 – Citeseer … 2007. 15, Fast and robust joint models for biomedical event extraction – Riedel, McCallum – 2011. 14, A Latent Variable Model of Synchronous Syntactic-Semantic Parsing for Multiple Languages – Gesmundo, Henderson, et al. – 2009. 8, Wen tau Yih. 2008. … Cited by 5 Related articles All 2 versions

KUL-Eval: A Combinatory Categorial Grammar Approach for Improving Semantic Parsing of Robot Commands using Spatial Context W Mattelaer, M Verbeke, D Nitti – Proceedings of the International …, 2014 – alt.qcri.org Abstract When executing commands, a robot has a certain level of contextual knowledge about the environment in which it operates. Taking this knowledge into account can be beneficial to disambiguate commands with multiple interpretations. We present an … Cited by 1

Biological Texts Semantic Parsing J Yang, J Feng, J Yang – Global Journal on Technology, 2013 – world-education-center.org Abstract A natural language parser is a program that works out the grammatical structure of sentences. It is important for knowledge discovering and text mining. Here we presented several semantic parsers, which could discover the semantic dependency relations in a …

A lightweight Chinese semantic dependency parsing model based on sentence compression X Wang, W Sun, Z Sui – Natural Language Processing and …, 2010 – ieeexplore.ieee.org … Both tasks for several languages have drawn much attention of researchers. Syntactic parsing is necessary for semantic parsing on several languages, both in constituency and 978-1-4244-6899-7/10/$26.00 ©20 1 0 IEEE • Corresponding author dependency formalism. … Cited by 4 Related articles All 2 versions

An ensemble model that combines syntactic and semantic clustering for discriminative dependency parsing G Haffari, M Razavi, A Sarkar – Proceedings of the 49th Annual Meeting …, 2011 – dl.acm.org … 23 of the Penn Tree- bank. Our error analysis has revealed that each syn- tactic/semantic parsing model is an expert in cap- turing different dependency lengths, and the ensem- ble model can always combine their expertise and do better at each dependency length. … Cited by 13 Related articles All 13 versions

Identifying pathological findings in German radiology reports using a syntacto-semantic parsing approach C Bretschneider, S Zillner, M Hammon – ACL 2013, 2013 – aclweb.org Abstract In order to integrate heterogeneous clinical information sources, semantically correlating information entities have to be linked. Our discussions with radiologists revealed that anatomical entities with pathological findings are of particular interest when linking … Related articles All 4 versions

Using C5.0 and Exhaustive Search for Boosting Frame-Semantic Parsing Accuracy G Barzdins, D Gosko, R Rituma… – Proceedings of the 9th …, 2014 – lrec-conf.org Abstract Frame-semantic parsing is a kind of automatic semantic role labeling performed according to the FrameNet paradigm. The paper reports a novel approach for boosting frame-semantic parsing accuracy through the use of the C5. 0 decision tree classifier, a … Cited by 2 Related articles

Learning for semantic parsing using statistical syntactic parsing techniques R Ge – 2010 – DTIC Document Abstract: Natural language understanding is a sub-field of natural language processing which builds automated systems to understand natural language. It is such an ambitious task that it sometimes is referred to as an AI-complete problem, implying that its difficulty is … Cited by 1 Related articles All 2 versions

Multilingual joint parsing of syntactic and semantic dependencies with a latent variable model J Henderson, P Merlo, I Titov, G Musillo – Computational Linguistics, 2013 – MIT Press … questions. We concentrate on the following two central questions. • How do we design the interface between the syntactic and the semantic parsing representations? • Are there any benefits to joint learning of syntax and semantics? … Cited by 1 Related articles All 5 versions

A Linguistic Resource for Semantic Parsing of Motion Events. K Roberts, S Gullapalli, CA Bejan, SM Harabagiu – LREC, 2010 – lrec-conf.org Abstract This paper presents a corpus of annotated motion events and their event structure. We consider motion events triggered by a set of motion evoking words and contemplate both literal and figurative interpretations of them. Figurative motion events are extracted into the … Related articles All 8 versions

Peking: Profiling Syntactic Tree Parsing Techniques for Semantic Graph Parsing Y Du, F Zhang, W Sun, X Wan – … of the Eighth International Workshop on …, 2014 – alt.qcri.org … However, since transition systems that can directly handle build graphs have been devel- oped, we only use this technique to evaluate the possible effectiveness of graph-based models for semantic parsing. 4.1 Graph-to-Tree Transformation … Cited by 1

SemEval 2014 Task 8: Broad-coverage semantic dependency parsing S Oepen, M Kuhlmann, Y Miyao, D Zeman… – Proc. of SemEval. …, 2014 – alt.qcri.org … Finally, a third closely related area of much cur- rent interest is often dubbed ‘semantic parsing’, which Kate and Wong (2010) define as “the task of mapping natural language sentences into complete formal meaning representations which a computer can execute for some … Cited by 5

Applying semantic-based probabilistic context-free grammar to medical language processing–A preliminary study on parsing medication sentences H Xu, S AbdelRahman, Y Lu, JC Denny… – Journal of biomedical …, 2011 – Elsevier … Highlights. ? First attempt to apply PCFG to semantic parsing of clinical text. ? An annotated Treebank … a sentence. The parsing component of MedEx provides a good start for investigating PCFG in semantic parsing of clinical text. In … Cited by 3 Related articles All 12 versions

Semantic parsing for priming object detection in RGB-D Scenes CD Cadena Lerma, J Kosecka – Semantic …, 2013 – digital.library.adelaide.edu.au The advancements in robot autonomy and capabilities for carrying out more complex tasks in unstructured indoors environments can be greatly enhanced by endowing existing environment models with semantic information. In this paper we describe an approach for …

State of the Art NLP: Multilingualism and Semantic Parsing in Information Retrieval and Extraction T MENDT, P MURIITHI, E SAMOTA… – 2014 – info.univ-tours.fr Current technologies are making increasingly vast amounts of information available to common internet users. Though the availability of data is ever growing, finding information relevant to a specific need is not always straightforward. Information Retrieval techniques …

A Novel Data Set for Semantic Parsing using SQL as a Formal Language K Kura – 2012 – conservancy.umn.edu Abstract For a learning system, in order to understand a natural language sentence, it has to map the natural language sentence onto a computer-understandable meaning representation. A semantic parsing learner maps a natural language sentence onto its … Related articles All 2 versions

Integrative semantic dependency parsing via efficient large-scale feature selection H Zhao, X Zhang, C Kit – arXiv preprint arXiv:1401.6050, 2014 – arxiv.org … China Abstract Semantic parsing, ie, the automatic derivation of meaning representation such as an instantiated predicate-argument structure for a sentence, plays a critical role in deep pro- cessing of natural language. Unlike … Related articles All 8 versions

Chinese Semantic Parsing Based on Dependency Relationship H LI, M ZHU – Computer Knowledge and Technology, 2012 – en.cnki.com.cn Natural language understanding is an important field in Artificial Intelligence. To extract semantic relations from natural lan guage, so that the computer can understand a sentence like human beings, a method of Chinese semantic parsing based on LTP and HowNet is … Related articles

Towards a tight integration of syntactic parsing with semantic disambiguation by means of declarative programming Y Lierler, P Schüller – 2013 – digitalcommons.unomaha.edu … Das, D., N. Schneider, D. Chen, and NA Smith (2010). Probabilistic frame-semantic parsing. In Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, HLT ’10, Stroudsburg, PA, USA, pp. … Cited by 1 Related articles All 12 versions

A joint approach for building a large Tibetan corpus with syntactic parsing and semantic role labeling L Qiu, C Long, X Zhao – Intelligent Networks and Intelligent …, 2012 – ieeexplore.ieee.org … Tibetan The problem of semantic role labeling can be seen as a classification problem. Many machine learning algorithms are used in semantic parsing. In recent years, a growing number of scholars have found that the biggest … Cited by 2 Related articles All 4 versions

Joint learning of dependency parsing and semantic role labeling A Van Den Bosch, R Morante, S Canisius – 2012 – clips.ua.ac.be … Li et al. (2010) perform joint syntactic and semantic parsing of Chinese. Their … parser. They show that incorporating semantic role information into the syntactic parsing model improves the results of both syntactic and semantic parsing. … Related articles All 8 versions

Chinese semantic dependency parsing with third-order features Z Wu, X Wang, X Li – Proceedings of the First Joint Conference on …, 2012 – dl.acm.org … Things are the same in POS (part-of- speech tags) and CPOS (fine-grid POS) which are viewed as different features. For the applications of syntactic and semantic parsing, the parsing time and memory footprint are very important. … Cited by 1 Related articles All 6 versions

Ict: a system combination for chinese semantic dependency parsing H Xiong, Q Liu – Proceedings of the First Joint Conference on Lexical …, 2012 – dl.acm.org … On the other hand, the performance of syntactic dependency parsing is ap- proaching to perfect, intuitively, that better depen- dency structure does help to semantic parsing, thus we can concentrate on improving the accuracy of de- pendency structure construction. … Cited by 1 Related articles All 6 versions

Hybrid syntactic-semantic reranking for parsing results of ECAs interactions using CRFs E Acerbi, G Pérez, F Stella – Advances in Natural Language Processing, 2010 – Springer … In [8] an application of the previous proposals for semantic parsing is de- scribed. … In: Computational Linguistics, pp. 175–182. Morgan Kaufmann, San Francisco (2003) 8. Ge, R., Mooney, RJ: Discriminative Reranking for Semantic Parsing. … Related articles All 23 versions

Semantic parsing using lexicalized well-founded grammars G Kharkwal – 2014 – rucore.libraries.rutgers.edu A long-term goal of any research endeavor in natural language understanding is to develop an autonomous system that can interpret natural language utterances. Semantic parsing is a sub-area of natural language understanding where the specific goal is to produce a … Related articles All 4 versions

Contextual Semantic Parsing using Crowdsourced Spatial Descriptions K Dukes – arXiv preprint arXiv:1405.0145, 2014 – arxiv.org Abstract: We describe a contextual parser for the Robot Commands Treebank, a new crowdsourced resource. In contrast to previous semantic parsers that select the most- probable parse, we consider the different problem of parsing using additional situational … Cited by 2 Related articles All 2 versions

Dependency parsing representation effects on the accuracy of semantic applications—an example of an inflective language L Pretkalni?a, A Znoti?š, L Rituma… – Proceedings of the 9th …, 2014 – eksperimenti.ailab.lv Page 1. FINAL DRAFT submitted in LREC 2014 Dependency parsing representation effects on the accuracy of semantic applications — an example of an inflective language Lauma Pretkalni?a, Art?rs Znoti?š, Laura Rituma … Cited by 1 Related articles All 2 versions

Evaluating Supervised Semantic Parsing Methods on Application-Independent Data S Beschke – ESSLLI Student Session 2013 Preproceedings, 2013 – loriweb.org Abstract. While supervised statistical semantic parsing methods have received a good amount of attention in recent years, this research has largely been done on small and specialized data sets. This paper introduces a work-in-progress with the objective of … Related articles All 2 versions