Frame Semantic Parsing 2020


Notes:

  • Frame semantic parser
  • Frame semantics parser
  • Frame semantic parsers
  • Frame semantics parsers
  • Frame semantic parsing
  • Frame semantics parsing

Resources:

See also:

Semantics


Open-Domain Frame Semantic Parsing Using Transformers
A Kalyanpur, O Biran, T Breloff, J Chu-Carroll… – arXiv preprint arXiv …, 2020 – arxiv.org
Frame semantic parsing is a complex problem which includes multiple underlying subtasks. Recent approaches have employed joint learning of subtasks (such as predicate and argument detection), and multi-task learning of related tasks (such as syntactic and semantic …

Encoding Syntactic Constituency Paths for Frame-Semantic Parsing with Graph Convolutional Networks
E Bastianelli, A Vanzo, O Lemon – arXiv preprint arXiv:2011.13210, 2020 – arxiv.org
We study the problem of integrating syntactic information from constituency trees into a neural model in Frame-semantic parsing sub-tasks, namely Target Identification (TI), FrameIdentification (FI), and Semantic Role Labeling (SRL). We use a Graph Convolutional …

WikiBank: Using Wikidata to Improve Multilingual Frame-Semantic Parsing
C Sas, M Beloucif, A Søgaard – … of The 12th Language Resources and …, 2020 – aclweb.org
Frame-semantic annotations exist for a tiny fraction of the world’s languages, Wikidata, however, links knowledge base triples to texts in many languages, providing a common, distant supervision signal for semantic parsers. We present WikiBank, a multilingual …

c Copyright 2019
R Fan – swabhs.com
… 3.4 Frames and Sentiment Frame-semantic parsers perform well on shared tasks and benchmarks, but how much useful … frame-semantic parser … suggesting that frame-semantic parsing has trouble identifying sentiment-relevant frames for uncommon phrases …

AI pptX: Robust Continuous Learning for Document Generation with AI Insights
V Ravi, S Amrouni, A Stefanucci, P Reddy… – arXiv preprint arXiv …, 2020 – arxiv.org
… AI pptX understands human language instructions [Vittorio et al., 2015] by predicting labels [T Kollar and Roy, 2014] for every token using a frame semantic parser … AI pptX contains a trained frame semantic parser for predicting labels of natural language input …

SENTiVENT Event Annotation Guidelines v1. 1
G Jacobs – 2020 – biblio.ugent.be
… current event. (We do however make the Rich ERE discrimination in extent for pre-determined set of Argument FILLERs which are bound to specific event types) Our approach is more similar to a frame semantic parsing task. Rich …

SKATE: A Natural Language Interface for Encoding Structured Knowledge
C McFate, A Kalyanpur, D Ferrucci, A Bradshaw… – arXiv preprint arXiv …, 2020 – arxiv.org
… This approach has been used in popular commercial spoken dialogue systems (eg, Google’s Dialogflow and Amazon’s Alexa skills) through the developer-defined “in- tents.” Frame semantic parsing more broadly (eg, Gildea and Jurafsky 2002) has demonstrated benefit in a …

AUGMENTING LINGUISTIC SEMI-STRUCTURED DATA FOR MACHINE LEARNING-A CASE STUDY USING FRAMENET
BWSR Carvalho, A Paes, B Gonçalves – academia.edu
… KEYWORDS FrameNet, Frame Semantic Parsing, Semantic Role Labelling, Data Augmentation. 1. INTRODUCTION … 2.2. Open-Sesame: the Supportive Semantic-Role-Labeling Method Open-Sesame [6] is a state-of-the-art method for frame semantic parsing …

Multimodal joint learning for personal knowledge base construction from Twitter-based lifelogs
AZ Yen, HH Huang, HH Chen – Information Processing & Management, 2020 – Elsevier
JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. Skip to main content Skip to article …

Generating Lexical Representations of Frames using Lexical Substitution
S Anwar, A Shelmanov, A Panchenko… – Proceedings of the …, 2020 – aclweb.org
… Association for Computational Linguistics. Dipanjan Das, Desai Chen, André FT Martins, Nathan Schneider, and Noah A. Smith. 2014. Frame-semantic parsing. Computational Linguis- tics, 40:9–56. Dipanjan Das, Nathan Schneider, Desai Chen, and Noah A. Smith. 2010 …

Iterative paraphrastic augmentation with discriminative span alignment
R Culkin, JE Hu, E Stengel-Eskin, G Qin… – arXiv preprint arXiv …, 2020 – arxiv.org
Page 1. Iterative Paraphrastic Augmentation with Discriminative Span Alignment Ryan Culkin J. Edward Hu Elias Stengel-Eskin Guanghui Qin Benjamin Van Durme Johns Hopkins University {rculkin, edward.hu, elias, qin}@jhu.edu vandurme@cs.jhu.edu Abstract …

Outer and inner circle rhetoric specificity in political discourse: a corpus-based study
FM Aseh – 2020 – opus4.kobv.de
… (Fillmore, 1976, 1977a, 1982, 1985, 2008; Fillmore & Baker, 2010). I use an automatic frame semantic parsing tool, the SEMAFOR parser (Das et al, 2014), to identify the different types of (semantic) frames and frame roles with which specific personal …

Semantic Role Labelling
C Room – algorithms, 2020 – devopedia.org
In linguistics, predicate refers to the main verb in the sentence. Predicate takes arguments. The role of Semantic Role Labelling (SRL) is to determine how these arguments are semantically related to the predicate.

Exploring Crosslinguistic Frame Alignment
CF Baker, A Lorenzi – … of the International FrameNet Workshop 2020 …, 2020 – aclweb.org
… Chen, Y.-N., Wang, WY, and Rudnicky, AI (2013). Un- supervised induction and filling of semantic slots for spo- ken dialogue systems using frame-semantic parsing … Das, D., Schneider, N., Chen, D., and Smith, NA (2010). Probabilistic Frame-Semantic Parsing …

Exploring Crosslinguisitic FrameNet Alignment
CF Baker, A Lorenzi – LREC 2020 WORKSHOP – lrec-conf.org
… Chen, Y.-N., Wang, WY, and Rudnicky, AI (2013). Un- supervised induction and filling of semantic slots for spo- ken dialogue systems using frame-semantic parsing … Das, D., Schneider, N., Chen, D., and Smith, NA (2010). Probabilistic Frame-Semantic Parsing …

Incorporating Expert-Based Investment Opinion Signals in Stock Prediction: A Deep Learning Framework
H Wang, T Wang, Y Li – Proceedings of the AAAI Conference on …, 2020 – ojs.aaai.org
… Xie et al. 2013; Li et al. 2014; Ding et al. 2014; 2015; Hu et al. 2018; Liu et al. 2018). Different features such as bag-of-words, frame semantic parsing and extracted structured events were used in these work. In this paper, we …

A Context-Aware Computing Method of Sentence Similarity Based on Frame Semantics
W Liu, T Wang, Z Yang, J Cao – International Conference on Advanced …, 2020 – Springer
… Semafor 2 is an open source software tool developed as a frame-semantic parser [9]. It can automatically process English sentences according to FrameNet … 6) (June 2001)Google Scholar. 9. Das, D., Schneider, N., Chen, D., Smith, NA: Probabilistic frame-semantic parsing …

From Linguistic Descriptions to Language Profiles
SM Virk, H Hammarström, L Borin, M Forsberg… – Proceedings of the 7th …, 2020 – aclweb.org
… to better understand what LingFN is, and how its frame-labeled data is used to build the frame-semantic parser which in … Exploiting frame- semantics and frame-semantic parsing for automatic extraction of typological information from descriptive grammars of natural languages …

Compositional Generalization and Natural Language Variation: Can a Semantic Parsing Approach Handle Both?
P Shaw, MW Chang, P Pasupat… – arXiv preprint arXiv …, 2020 – arxiv.org
… 4.1 Overview We frame semantic parsing as translation between pairs of strings, where the source string x is a nat- ural language utterance, and the target string y is a meaning representation or executable program (which we refer to as a target representation) …

Evaluating Semantic Feature Representations to Efficiently Detect Hate Intent on Social Media
Y Senarath, H Purohit – 2020 IEEE 14th International …, 2020 – ieeexplore.ieee.org
… The tweet T is processed through frame semantics parsing tool SLING [12], which outputs PropBank frames [13] that we map to FrameNet frames using an existing … [12] M. Ringgaard, R. Gupta, and FC Pereira, “Sling: A framework for frame semantic parsing,” arXiv preprint arXiv …

Dialogue Systems in a Low-resource Scenario
V Hude?ek – ufal.mff.cuni.cz
… The frame- semantic parser outputs are filtered and the slot structure is inferred, only the relevant concepts are captured … Table 2: A sample section of a dialogue from CamRest676 data, with labels provided by the frame-semantic parser and our slot tagger (bottom) …

MAVEN: A Massive General Domain Event Detection Dataset
X Wang, Z Wang, X Han, W Jiang, R Han, Z Liu… – arXiv preprint arXiv …, 2020 – arxiv.org
… Penning- ton et al., 2014). We also automatically label some of the trigger candidates with a frame semantic parser (Swayamdipta et al., 2017) and use the predicted frames as the default event types. The annotators can change …

VASTA: a vision and language-assisted smartphone task automation system
AR Sereshkeh, G Leung, K Perumal, C Phillips… – Proceedings of the 25th …, 2020 – dl.acm.org
… other neural network-based approaches. There also exists relevant work on semantic parsing [35], frame-semantic parsing [32], and dependency-based parsing [26], but all of these require large training data specific to the task or domain of interest …

Dialogue State Induction Using Neural Latent Variable Models
Q Min, L Qin, Z Teng, X Liu, Y Zhang – arXiv preprint arXiv:2008.05666, 2020 – arxiv.org
… Induction methods. The closest in spirit of our work, Chen et al. [2013] used the FrameNet-style frame-semantic parsers to induce slots from a user utterance; Shi et al. [2018] proposed a framework auto-dialabel to cluster noun words into slots …

A Frame-based Sentence Representation for Machine Reading Comprehension
S Guo, R Li, H Tan, X Li, Y Guan, H Zhao… – Proceedings of the 58th …, 2020 – aclweb.org
… Dipanjan Das, Desai Chen, Andr FT Martin- s, Nathan Schneider, and Noah A. Smith. 2014. Frame-semantic parsing. Computational Linguistic- s, 40(1):9–56. Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 …

Semi-supervised semantic dependency parsing using CRF autoencoders
Z Jia, Y Ma, J Cai, K Tu – Proceedings of the 58th Annual Meeting of the …, 2020 – aclweb.org
Page 1. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 6795–6805 July 5 – 10, 2020. c 2020 Association for Computational Linguistics 6795 Semi-Supervised Semantic Dependency Parsing Using CRF Autoencoders …

Enhancing a Lexicon of Polarity Shifters through the Supervised Classification of Shifting Directions
M Schulder, M Wiegand, J Ruppenhofer – 2020 – ids-pub.bsz-bw.de
… Educational and Psychological Measure- ment, 20(1):37–46. Das, D. and Smith, NA (2011). Semi-Supervised Frame- Semantic Parsing for Unknown Predicates … ACL. Das, D., Schneider, N., Chen, D., and Smith, NA (2010). Probabilistic Frame-Semantic Parsing …

Enabling robots to understand incomplete natural language instructions using commonsense reasoning
H Chen, H Tan, A Kuntz, M Bansal… – … on Robotics and …, 2020 – ieeexplore.ieee.org
… frames. Following the convention in the frame semantic parsing literature [8, 15], we define a verb frame as f = (v, r1,a1,…,rN ,aN ), where v denotes the predicate and ri and ai denote the i’th role and its argument, respectively …

Knowledge-enriched visual storytelling
CC Hsu, ZY Chen, CY Hsu, CC Li, TY Lin… – Proceedings of the …, 2020 – ojs.aaai.org
… and verbs using a part-of-speech tagger3. Then, we ex- tract verb frames to replace original verbs using Open- SESAME (Swayamdipta et al. 2017), a frame-semantic parser which automatically detects FrameNet (Baker, Fill- more, and Lowe 1998) frames …

Pini Language and PiniTree Ontology Editor: Annotation and Verbalisation for Atomised Journalism
G Barzdins, D Gosko, K Cerans, OF Barzdins… – European Semantic …, 2020 – Springer
… FrameNet. Int. J. Lexicogr. 16, 235–250 (2003)CrossRefGoogle Scholar. 7. Barzdins, G., Gosko, D., Rituma, L., Paikens, P.: Using C5.0 and exhaustive search for boosting frame-semantic parsing accuracy. In: LREC2014, pp. 4476 …

Learning Relation Entailment with Structured and Textual Information
Z Jiang, J Araki, D Yu, R Zhang, W Xu… – Automated …, 2020 – openreview.net
… as its children.3 4) Entity Linking To extract textual contexts for each relation, we run SLING,4 a frame semantic parser [Ringgaard et al., 2017], to identify mentions of Wikidata entities in the Wikipedia corpus. 5) Train/Dev/Test …

Characterizing Task-Relevant Information in Natural Language Software Artifacts
A Marques, NC Bradley… – 2020 IEEE International …, 2020 – ieeexplore.ieee.org
… To this data, we applied frame semantic parsing [20], a linguistic approach that extracts events, relationships or entities in the text [21] … To this end, we analyze HUs for semantic frames [56], [57] using frame semantic parsing [21] …

Towards Hybrid Model for Human-Computer Interaction in Latvian
I Skadi?a, D Goško – … –The Baltic Perspective: Proceedings of the …, 2020 – books.google.com
… resource settings. This includes methods for NER adaptation to support slot filling for domain specific entity classes. Secondly, we aim to investigate the application of frame-semantic parsing methods for slot filling. The data …

SQL Generation from Natural Language Using Supervised Learning and Recurrent Neural Networks
W Dahhane, T Bouchentouf… – Artificial Intelligence and …, 2020 – books.google.com
… In: Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics (ACL-2007), Prague, Czech Republic (2007) 16. Das, D., Schneider, N., Chen, D., Smith, NA: Probabilistic frame-semantic parsing. In: NAACL (2010) 17 …

Zero-Shot Visual Slot Filling as Question Answering
L Heck, S Heck – arXiv preprint arXiv:2011.12340, 2020 – arxiv.org
… Page 5. References Bapna, A.; Tur, G.; Hakkani-Tur, D.; and Heck, L. 2017. To- wards zero-shot frame semantic parsing for domain scaling. arXiv preprint arXiv:1707.02363 . Campagna, G.; Foryciarz, A.; Moradshahi, M.; and S., LM 2020 …

SQL Generation from Natural Language Using Supervised Learning and Recurrent Neural Networks
Y Mellah, EH Ettifouri, A Rhouati, W Dahhane… – … Conference on Artificial …, 2020 – Springer
… In: Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics (ACL-2007), Prague, Czech Republic (2007)Google Scholar. 16. Das, D., Schneider, N., Chen, D., Smith, NA: Probabilistic frame-semantic parsing. In: NAACL (2010)Google Scholar. 17 …

Vector Projection Network for Few-shot Slot Tagging in Natural Language Understanding
S Zhu, R Cao, L Chen, K Yu – arXiv preprint arXiv:2009.09568, 2020 – arxiv.org
… For future work, we would like to add a learnable scale factor for bias in Eqn. 6. References Ankur Bapna, Gökhan Tür, Dilek Hakkani-Tür, and Larry P. Heck. 2017. Towards zero-shot frame semantic parsing for domain scaling. In INTER- SPEECH, pages 2476–2480 …

Joint Modeling of Arguments for Event Understanding
Y Chen, T Chen, B Van Durme – Proceedings of the First Workshop on …, 2020 – aclweb.org
Page 1. Proceedings of the First Workshop on Computational Approaches to Discourse, pages 96–101 Online, November 20, 2020. c 2020 Association for Computational Linguistics https://doi.org/10.18653/v1/P17 96 Joint Modeling of Arguments for Event Understanding …

Towards scalable multi-domain conversational agents: The schema-guided dialogue dataset
A Rastogi, X Zang, S Sunkara, R Gupta… – Proceedings of the AAAI …, 2020 – ojs.aaai.org
Page 1. The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20) Towards Scalable Multi-Domain Conversational Agents: The Schema-Guided Dialogue Dataset Abhinav Rastogi, Xiaoxue Zang, Srinivas Sunkara …

Conversational semantic parsing
A Aghajanyan, J Maillard, A Shrivastava… – arXiv preprint arXiv …, 2020 – arxiv.org
Page 1. Conversational Semantic Parsing Armen Aghajanyan Jean Maillard Akshat Shrivastava Keith Diedrick Mike Haeger Haoran Li Yashar Mehdad Ves Stoyanov Anuj Kumar Mike Lewis Sonal Gupta Facebook {armenag …

A Semantic Grammar for Augmentative and Alternative Communication Systems
J Pereira, N Franco, R Fidalgo – International Conference on Text, Speech …, 2020 – Springer
… Google Scholar. 17. Ringgaard, M., Gupta, R., Pereira, FC: Sling: a framework for frame semantic parsing. arXiv preprint arXiv:1710.07032 (2017). 18. Wu, Z., Palmer, M.: Verbs semantics and lexical selection. In: Proceedings …

Language Model is All You Need: Natural Language Understanding as Question Answering
M Namazifar, A Papangelis, G Tur… – arXiv preprint arXiv …, 2020 – arxiv.org
… preprint arXiv:1911.06192, 2019. [15] Ankur Bapna, Gokhan Tur, Dilek Hakkani-Tur, and Larry Heck, “Towards zero-shot frame semantic parsing for domain scaling,” arXiv preprint arXiv:1707.02363, 2017. [16] Hemanthage S …

Incorporating Verb Semantic Information in Visual Question Answering Through Multitask Learning Paradigm
M Alizadeh, B Di Eugenio – International Journal of Semantic …, 2020 – World Scientific
Page 1. Incorporating Verb Semantic Information in Visual Question Answering Through Multitask Learning Paradigm Mehrdad Alizadeh* and Barbara Di Eugenio† Department of Computer Science University of Illinois at Chicago …

InVeRo: Making Semantic Role Labeling accessible with intelligible verbs and roles
S Conia, F Brignone, D Zanfardino… – Proceedings of the 2020 …, 2020 – aclweb.org
Page 1. Proceedings of the 2020 EMNLP (Systems Demonstrations), pages 77–84 November 16-20, 2020. c 2020 Association for Computational Linguistics 77 InVeRo: Making Semantic Role Labeling Accessible with Intelligible Verbs and Roles …

How to marry a star: probabilistic constraints for meaning in context
K Erk, A Herbelot – arXiv preprint arXiv:2009.07936, 2020 – arxiv.org
… of ‘frame semantics parsing’, which deals with automatically identifying the frames that are evoked by a sentence, as well as their relationships (eg Das et al. 2014, Johannsen et al. 2015 and especially Ferraro & Van Durme 2016). While a frame semantics parser accounts for …

Zero-shot text-to-SQL learning with auxiliary task
S Chang, P Liu, Y Tang, J Huang, X He… – Proceedings of the AAAI …, 2020 – ojs.aaai.org
Page 1. The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20) Zero-Shot Text-to-SQL Learning with Auxiliary Task Shuaichen Chang,1? Pengfei Liu,2 Yun Tang,3 Jing Huang,3 Xiaodong He,3 Bowen Zhou3 …

Empirical evaluation of pretraining strategies for supervised entity linking
T Févry, N FitzGerald, LB Soares… – arXiv preprint arXiv …, 2020 – arxiv.org
Page 1. arXiv:2005.14253v1 [cs.CL] 28 May 2020 Automated Knowledge Base Construction (2020) Conference paper Empirical Evaluation of Pretraining Strategies for Supervised Entity Linking Thibault Févry?† tfevry@google.com Nicholas FitzGerald? nfitz@google.com …

Fine-tuning bert for schema-guided zero-shot dialogue state tracking
YP Ruan, ZH Ling, JC Gu, Q Liu – arXiv preprint arXiv:2002.00181, 2020 – arxiv.org
… References Bapna, A.; Tür, G.; Hakkani-Tür, D.; and Heck, L. 2017. Towards zero-shot frame semantic parsing for domain scaling. Proc. Interspeech 2017 2476–2480. Budzianowski, P.; Wen, T.-H.; Tseng, B.-H.; Casanueva, I.; Ultes, S.; Ramadan, O.; and Gasic, M. 2018 …

Towards a Cross-article Narrative Comparison of News
M Mensio, H Alani, A Willis – Proceedings of the Text2Story’20 …, 2020 – oro.open.ac.uk
… Narrative analysis, volume 30. Sage, 1993. [STDS17] Swabha Swayamdipta, Sam Thomson, Chris Dyer, and Noah A. Smith. Frame-Semantic Parsing with Softmax-Margin Segmental RNNs and a Syntactic Scaffold. arXiv preprint arXiv:1706.09528, 2017 …

Jaket: Joint pre-training of knowledge graph and language understanding
D Yu, C Zhu, Y Yang, M Zeng – arXiv preprint arXiv:2010.00796, 2020 – arxiv.org
Page 1. Under review. Preprint JAKET: JOINT PRE-TRAINING OF KNOWLEDGE GRAPH AND LANGUAGE UNDERSTANDING Donghan Yu1?, Chenguang Zhu2?, Yiming Yang1, Michael Zeng2 1Carnegie Mellon University …

Schema-guided dialogue state tracking task at DSTC8
A Rastogi, X Zang, S Sunkara, R Gupta… – arXiv preprint arXiv …, 2020 – arxiv.org
Page 1. Schema-Guided Dialogue State Tracking Task at DSTC8 Abhinav Rastogi, Xiaoxue Zang, Srinivas Sunkara, Raghav Gupta, Pranav Khaitan Google Research, Mountain View, California, USA {abhirast, xiaoxuez, srinivasksun, raghavgupta, pranavkhaitan}@google.com …

Building a Hebrew Semantic Role Labeling Lexical Resource from Parallel Movie Subtitles
B Eyal, M Elhadad – arXiv preprint arXiv:2005.08206, 2020 – arxiv.org
… Association for Computational Linguistics. Das, D., Chen, D., Martins, AF, Schneider, N., and Smith, NA (2014). Frame-semantic parsing. Computational linguistics, 40(1):9–56. Daza, A. and Frank, A. (2019). Translate and label …

CREDIT: Coarse-to-Fine Sequence Generation for Dialogue State Tracking
Z Chen, L Chen, Z Xu, Y Zhao, S Zhu, K Yu – arXiv preprint arXiv …, 2020 – arxiv.org
Page 1. CREDIT: Coarse-to-Fine Sequence Generation for Dialogue State Tracking Zhi Chen, Lu Chen, Zihan Xu, Yanbin Zhao,Su Zhu and Kai Yu Key Lab. of Shanghai Education Commission for Intelligent Interaction and Cognitive Eng …

Stance Detection on Social Media: State of the Art and Trends
A AlDayel, W Magdy – arXiv preprint arXiv:2006.03644, 2020 – arxiv.org
… Topic modeling has been applied by different studies [Elfardy and Diab 2016]. For instance [Elfardy and Diab 2016] used Textual Weighted Textual Matrix Factorization (WTMF) and frame-semantic parser to model a given tweet has been used as feature by [Patra et al …

Event representation with sequential, semi-supervised discrete variables
M Rezaee, F Ferraro – arXiv: 2010.04361, 2020 – ebiquity.umbc.edu
Page 1. Event Representation with Sequential, Semi-Supervised Discrete Variables Mehdi Rezaee University of Maryland, Baltimore County Baltimore, MD, USA rezaee1@umbc.edu Francis Ferraro University of Maryland, Baltimore …

A Two-stage Model for Slot Filling in Low-resource Settings: Domain-agnostic Non-slot Reduction and Pretrained Contextual Embeddings
C Oguz, NT Vu – Proceedings of SustaiNLP: Workshop on Simple and …, 2020 – aclweb.org
Page 1. Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language Processing, pages 73–82 Online, November 20, 2020. c 2020 Association for Computational Linguistics 73 A Two-stage Model for Slot …

Controlling Dialogue Generation with Semantic Exemplars
P Gupta, JP Bigham, Y Tsvetkov, A Pavel – arXiv preprint arXiv …, 2020 – arxiv.org
Page 1. Controlling Dialogue Generation with Semantic Exemplars Prakhar Gupta1, Jeffrey P. Bigham1,2, Yulia Tsvetkov1, Amy Pavel2 1Language Technologies Institute, Carnegie Mellon University, 2Human-Computer Interaction …

Event Representation with Sequential, Semi-Supervised Discrete Variables
MMR Taghiabadi, F Ferraro – arXiv preprint arXiv:2010.04361, 2020 – arxiv.org
Page 1. Event Representation with Sequential, Semi-Supervised Discrete Variables Mohammad Mehdi Rezaee Taghiabadi University of Maryland, Baltimore County Baltimore, MD, USA rezaee1@umbc.edu Francis Ferraro …

When does data augmentation help generalization in NLP?
R Jha, C Lovering, E Pavlick – arXiv preprint arXiv:2004.15012, 2020 – arxiv.org
Page 1. When does data augmentation help generalization in NLP? Rohan Jha and Charles Lovering and Ellie Pavlick Brown University {first} {last}@brown.edu Abstract Neural models often exploit superficial (“weak”) features …

Semantic Role Labeling as Syntactic Dependency Parsing
T Shi, I Malioutov, O ?rsoy – arXiv preprint arXiv:2010.11170, 2020 – arxiv.org
Page 1. Semantic Role Labeling as Syntactic Dependency Parsing Tianze Shi? Cornell University tianze@cs.cornell.edu Igor Malioutov Bloomberg LP imalioutov@bloomberg. net Ozan ?Irsoy Bloomberg LP oirsoy@bloomberg.net Abstract …

Differentiable reasoning over a virtual knowledge base
B Dhingra, M Zaheer, V Balachandran… – arXiv preprint arXiv …, 2020 – arxiv.org
Page 1. Published as a conference paper at ICLR 2020 DIFFERENTIABLE REASONING OVER A VIRTUAL KNOWLEDGE BASE Bhuwan Dhingra1?, Manzil Zaheer2, Vidhisha Balachandran1, Graham Neubig1, Ruslan Salakhutdinov1 …

Distributed Representations for Arithmetic Word Problems
SS Sundaram, P Deepak, SS Abraham – Proceedings of the AAAI …, 2020 – ojs.aaai.org
Page 1. The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20) Distributed Representations for Arithmetic Word Problems Sowmya S Sundaram,1 Deepak P,2 Savitha Sam Abraham1 1Indian Institute of Technology …

A Semantics-based Approach to Disclosure Classification in User-Generated Online Content
C Akiti, A Squicciarini, S Rajtmajer – … of the 2020 Conference on Empirical …, 2020 – aclweb.org
Page 1. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings, pages 3490–3499 November 16 – 20, 2020. c 2020 Association for Computational Linguistics 3490 A Semantics …

Improving Robustness by Augmenting Training Sentences with Predicate-Argument Structures
NS Moosavi, M de Boer, PA Utama… – arXiv preprint arXiv …, 2020 – arxiv.org
Page 1. Improving Robustness by Augmenting Training Sentences with Predicate-Argument Structures Nafise Sadat Moosavi†, Marcel de Boer†, Prasetya Ajie Utama†‡, Iryna Gurevych† ‡Ubiquitous Knowledge Processing …

Few-shot Learning for Multi-label Intent Detection
Y Hou, Y Lai, Y Wu, W Che, T Liu – arXiv preprint arXiv:2010.05256, 2020 – arxiv.org
Page 1. Few-shot Learning for Multi-label Intent Detection Yutai Hou, Yongkui Lai, Yushan Wu, Wanxiang Che* , Ting Liu School of Computer Science and Technology, Harbin Institute of Technology, China {ythou, yklai, car, tliu}@ir.hit.edu.cn, wuyushan@hit.edu.cn Abstract …

FrameNet Annotations Alignment using Attention-based Machine Translation
G Marzinotto – Proceedings of the International FrameNet Workshop …, 2020 – aclweb.org
Page 1. Proceedings of the International FrameNet Workshop 2020: Towards a Global, Multilingual FrameNet, pages 41–47 Language Resources and Evaluation Conference (LREC 2020), Marseille, 11–16 May 2020 c European …

Developing a Task-Based Dialogue System for English Language Learning
KC Li, M Chang, KH Wu – Education Sciences, 2020 – mdpi.com
This research involved the design of a task-based dialogue system and evaluation of its learning effectiveness. Dialogue training still heavily depends on human communication with instant feedback or correction. However, it is not possible to provide a personal tutor for every English …

Towards Reference-Aware FrameNet Annotation
L Remijnse, G Minnema – … of the International FrameNet Workshop 2020 …, 2020 – aclweb.org
Page 1. Proceedings of the International FrameNet Workshop 2020: Towards a Global, Multilingual FrameNet, pages 13–22 Language Resources and Evaluation Conference (LREC 2020), Marseille, 11–16 May 2020 c European …

Closing the Loop between knowledge patterns in cognition and the Semantic Web
A Gangemi – Semantic Web, 2020 – content.iospress.com
We discuss currently open issues in the discovery and representation of knowledge patterns in computational processing of meaning, in order to improve interoperability and cognitive validity of web-based semantics. We present the current state of kno.

Combining Conceptual and Referential Annotation to Study Variation in Framing
M Postma, L Remijnse, F Ilievski, A Fokkens… – Proceedings of the …, 2020 – aclweb.org
Page 1. Proceedings of the International FrameNet Workshop 2020: Towards a Global, Multilingual FrameNet, pages 31–40 Language Resources and Evaluation Conference (LREC 2020), Marseille, 11–16 May 2020 c European …

Large-scale Cross-lingual Language Resources for Referencing and Framing
P Vossen, F Ilievski, M Postma, A Fokkens… – Proceedings of The …, 2020 – aclweb.org
Page 1. Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020), pages 3162–3171 Marseille, 11–16 May 2020 c European Language Resources Association (ELRA), licensed under CC-BY-NC 3162 …

VQA with no questions-answers training
BZ Vatashsky, S Ullman – … of the IEEE/CVF Conference on …, 2020 – openaccess.thecvf.com
Page 1. VQA with No Questions-Answers Training Ben-Zion Vatashsky Shimon Ullman Weizmann Institute of Science, Israel vatashsky@gmail.com, shimon.ullman@ weizmann.ac.il Abstract Methods for teaching machines to …

Speech to Text to Semantics: A Sequence-to-sequence System for Spoken Language Understanding
J Dodson – 2020 – search.proquest.com
… and various optimization refinements such as asynchronous training and label smoothing. 2.2 Syntax-agnostic SRL For the semantic role labeling module, Google’s frame-semantics parser SLING and an im- plementation of the model described in Cai, et al …

Constructions in English Grammar
HC Boas – The Handbook of English Linguistics, 2020 – Wiley Online Library
Page 1. The Handbook of English Linguistics, Second Edition. Edited by Bas Aarts, April McMahon, and Lars Hinrichs. © 2021 John Wiley & Sons Ltd. Published 2021 by John Wiley & Sons Ltd. 15 15.1 Introduction The concept …

Document-editing Assistants and Model-based Reinforcement Learning as a Path to Conversational AI
K Kudashkina, PM Pilarski, RS Sutton – arXiv preprint arXiv:2008.12095, 2020 – arxiv.org
Page 1. Document-editing Assistants and Model-based Reinforcement Learning as a Path to Conversational AI Katya Kudashkina1,2,3,4, Patrick M. Pilarski3,4, Richard S. Sutton3,4 1University of Guelph, 2Vector Institute for …

CFSRE: Context-aware based on frame-semantics for distantly supervised relation extraction
H Zhao, R Li, X Li, H Tan – Knowledge-Based Systems, 2020 – Elsevier
JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. Skip to main content Skip to article …

Automated Assertion Generation from Natural Language Specifications
SJ Frederiksen, J Aromando… – 2020 IEEE International …, 2020 – ieeexplore.ieee.org
… [9] SM Virk, AS Muhammad, L. Borin, MI Aslam, S. Iqbal, and N. Khurram. Exploiting frame semantics and frame-semantic parsing for automatic extraction of typological information from descriptive grammars of natural languages. In Int’l Conf …

Artificial Intelligence and Language
N Asher, P Zweigenbaum – A Guided Tour of Artificial Intelligence …, 2020 – Springer
This chapter provides an overview of the role of artificial intelligence in natural language processing. We follow the chronology of the development of natural language processing systems (Sect. 2)….

Enhancing Visual Question Answering with Linguistic Information
M Alizadeh – 2020 – indigo.uic.edu
Page 1. Enhancing Visual Question Answering with Linguistic Information by Mehrdad Alizadeh BS, Shahid Beheshti University, Tehran, 2008 MS, Amirkabir University of Technology, Tehran, 2011 Thesis submitted in partial …

Semantic frame induction through the detection of communities of verbs and their arguments
E Ribeiro, AS Teixeira… – Applied Network …, 2020 – appliednetsci.springeropen.com
Resources such as FrameNet, which provide sets of semantic frame definitions and annotated textual data that maps into the evoked frames, are important for several NLP tasks. However, they are expensive to build and, consequently, are unavailable for many languages and domains …

Data augmentation and the role of hardness for feature learning in NLP
R Jha – 2020 – cs.brown.edu
Page 1. Data augmentation and the role of hardness for feature learning in NLP Rohan Jha Advisor: Ellie Pavlick, Reader: Michael Littman May 2020 Most of this work is also in collaboration with Charles Lovering. Some of the …

Automatic Characterization of Stories
S Kar – 2020 – uh-ir.tdl.org
Page 1. Automatic Characterization of Stories by Sudipta Kar A dissertation submitted to the Department of Computer Science, College of Natural Sciences and Mathematics in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computer Science …

Report from the NSF Future Directions Workshop, Toward user-oriented agents: Research directions and challenges
M Eskenazi, T Zhao – arXiv preprint arXiv:2006.06026, 2020 – arxiv.org
Page 1. Report from the NSF Future Directions Workshop, Toward User-Oriented Agents: Research Directions and Challenges Maxine Eskenazi MAX@CS.CMU.EDU Carnegie Mellon University Tiancheng Zhao TIANCHEZ@SOCO.AI SOCO.AI Abstract …

Prior Knowledge Driven Label Embedding for Slot Filling in Natural Language Understanding
S Zhu, Z Zhao, R Ma, K Yu – IEEE/ACM Transactions on Audio …, 2020 – ieeexplore.ieee.org
Page 1. 1440 IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, VOL. 28, 2020 Prior Knowledge Driven Label Embedding for Slot Filling in Natural Language Understanding Su Zhu , Student …

Syntax Role for Neural Semantic Role Labeling
Z Li, H Zhao, S He, J Cai – arXiv preprint arXiv:2009.05737, 2020 – arxiv.org
Page 1. Syntax Role for Neural Semantic Role Labeling Zuchao Li Shanghai Jiao Tong University Department of Computer Science and Engineering charlee@sjtu. edu.cn Hai Zhao? Shanghai Jiao Tong University Department …

Proceedings of The 12th Language Resources and Evaluation Conference
N Calzolari, F Bechet, P Blache, K Choukri… – Proceedings of The …, 2020 – aclweb.org
Page 1. LREC 2020 Marseille TWELFTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION May 11-16 , 2020 PALAIS DU PHARO Marseille, France CONFERENCE PROCEEDINGS Editors …

Comparison of Different Lexical Resources With Respect to the Tip-of-the-Tongue Problem
M Zock, C Biemann – Journal of Cognitive Science, 2020 – inf.uni-hamburg.de
Page 1. Comparison of Different Lexical Resources With Respect to the Tip-of-the-Tongue Problem Michael Zock1, Chris Biemann2 1AMU (LIF, CNRS)163 Avenue de Luminy, 13288 Marseille, France 2Language Technology …

Machine Semiotics
P Klimczak, G Wirsching – arXiv preprint arXiv:2008.10522, 2020 – arxiv.org
Page 1. arXiv:2008.10522v1 [cs.CL] 24 Aug 2020 Machine Learning manuscript No. (will be inserted by the editor) Machine Semiotics Peter Klimczak · G ünther Wirsching · Peter beim Graben August 25, 2020 Abstract Despite …

Sentence Meaning Representations Across Languages: What Can We Learn from Existing Frameworks?
Z Žabokrtský, D Zeman, M Šev?íková – Computational Linguistics, 2020 – MIT Press
Create a new account. Email. Returning user. Can’t sign in? Forgot your password? Enter your email address below and we will send you the reset instructions. Email. Cancel. If the address matches an existing account you will …

Crsal: Conversational recommender systems with adversarial learning
X Ren, H Yin, T Chen, H Wang, NQV Hung… – ACM Transactions on …, 2020 – dl.acm.org
Page 1. 34 CRSAL: Conversational Recommender Systems with Adversarial Learning XUHUI REN, HONGZHI YIN, and TONG CHEN, The University of Queensland, Australia HAO WANG, Alibaba Group, China NGUYEN QUOC …

A Survey of the Model Transfer Approaches to Cross-Lingual Dependency Parsing
A Das, S Sarkar – ACM Transactions on Asian and Low-Resource …, 2020 – dl.acm.org
Page 1. 67 A Survey of the Model Transfer Approaches to Cross-Lingual Dependency Parsing AYAN DAS and SUDESHNA SARKAR, Indian Institute of Technology Kharagpur Cross-lingual dependency parsing approaches …

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