View Project

Title:

Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification

Abstract:

Implicit discourse relation classification is of great challenge due to the lack of connectives as strong linguistic cues, which motivates the use of annotated implicit connectives to improve the recognition. We propose a feature imitation frame-work in which an implicit relation network is driven to learn from another neural network with access to connectives, and thus encouraged to extract similarly salient features for accurate classification. We develop an adversarial model to enable an adaptive imitation scheme through competition between the implicit network and a rival feature discriminator. Our method effectively transfers discriminability of connectives to the implicit features, and achieves state-of-the-art performance on the PDTB benchmark.

Actions

Login to edit or delete this resource.

Suggested Topics (up to Top 50)

Full Matches (full topic name in abstract)

Partial Matches (at least half of words topic name appear in abstract)

Suggested Resources

Uses abstract to search the content of resources available in Topics. Sorted by relevance.

# Title Author Topic Medium Score
1 A Latent Variable Recurrent Neural Network for Discourse-Driven Language Models Yangfeng Ji, Gholamreza Haffari, Jacob Eisenstein 9999
2 Encode, Review, and Decode: Reviewer Module for Caption Generation Zhilin Yang, Ye Yuan, Yuexin Wu, Ruslan Salakhutdinov, William W Cohen 9999
3 Multilingual Discourse Annotation Nianwen Xue 1138
4 Codra: A Novel Discriminative Framework for Rhetorical Analysis Shafiq Joty, Giuseppe Carenini, Raymond T. Ng 9999
5 Discourse Structure Theory, Practice and Use Bonnie Webber, Markus Egg, Valia Kordoni 1138
6 A Year In Computer Vision Benjamin F. Duffy, Daniel R. Flynn 862
7 PyTorch-GAN Jun-Yan Zhu, Richard Zhang, Deepak Pathak, Trevor Darrell, Alexei A... 1189
8 Summaries and notes on Deep Learning research papers Denny Britz 1183
9 Improving Multi-Document Summarization via Text Classification Ziqiang Cao, Wenjie Li, Sujian Li, Furu Wei 9999
10 Neural Style Transfer: {A} Review Yongcheng Jing and Yezhou Yang and Zunlei Feng and Jingwen Ye and M... 1049
11 Parsing Argumentation Structures in Persuasive Essays Christian Stab, Iryna Gurevych 9999
12 Similarity-driven Semantic Role Induction via Graph Partitioning Joel Lang, Mirella Lapata 9999
13 Harnessing Deep Neural Networks with Logic Rules Zhiting Hu, Xuezhe Ma, Zhengzhong Liu, Eduard Hovy, Eric Xing 9999
14 Language+Vision Mohit Bansal 1338
15 Recent Advances in Document Summarization Jin-ge Yao, Xiaojun Wan, Jianguo Xiao 1129
16 Discourse (Guest lecture: Jessy Li) Greg Durrett 1003
17 A Low-Rank Approximation Approach to Learning Joint Embeddings of News Stories and Images for Timeline Summarization William Yang Wang, Yashar Mehdad, Dragomir R. Radev, Amanda Stent 1129
18 Neural Summarization by Extracting Sentences and Words Jianpeng Cheng, Mirella Lapata 1129
19 Neural Summarization by Extracting Sentences and Words Jianpeng Cheng, Mirella Lapata 1129
20 ICML 2018 Notes David Abel 9999
21 Semantic Parsing 2, Question Answering Mohit Bansal 1125
22 Scholarly Data Mining: Making Sense of Scientific Literature Horacio Saggion & Francesco Ronzano 1151
23 Natural Language Processing for Intelligent Access to Scientific Information Francesco Ronzano, Horacio Saggion 1089
24 Evaluative language beyond bags of words: Linguistic insights and computational applications Benamara, Farah and Taboada, Maite and Mathieu, Yannick 1265
25 end-to-end goal-oriented question answering systems "Deepak Argawal, Bee-Chung Chen, Qi He, Jaewon Yang, Liang Zhang" 1125
26 Generative Adversarial Networks (GANs) Ian Goodfellow 1116
27 Generative Adversarial Networks (GANs) Ian Goodfellow 1200
28 Jumping NLP Curves: A Review of Natural Language Processing Research Erik Cambria, Bebo White 1053
29 Multi-Task Learning Objectives for Natural Language Processing Author Unknown 1065
30 A Survey on Deep Learning for Named Entity Recognition Li, Jing and Sun, Aixin and Han, Jianglei and Li, Chenliang 1089
31 Negated bio-events: analysis and identification Raheel Nawaz, Paul Thompson, Sophia Ananiadou 9999
32 Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks Shivang Agarwal and Jean Ogier Du Terrail and Fr{\'{e}}d{\'{e}}ric ... 1193
33 An Overview of Multi-Task Learning in Deep Neural Networks Sebastian Ruder 1311
34 Content-based citation analysis: The next generation of citation analysis Ying Ding, Guo Zhang, Tamy Chambers, Min Song, Xiaolong Wang, Cheng... 9999
35 ACL 2017 Report Yuta Kikuchi, Sosuke Kobayashi 1181
36 NLP’s generalization problem, and how researchers are tackling it Ana Marasovic 1181
37 Sort story: Sorting jumbled images and captions into stories Harsh Agrawal, Arjun Chandrasekaran, Dhruv Batra, Devi Parikh, Mohi... 9999
38 Deep Reinforcement Learning Kai Arulkumaran, Marc Peter Deisenroth, Miles Brundage, and Anil An... 1336
39 Modern Deep Learning Techniques Applied to Natural Language Processing Elvis Saravia, Soujanya Poria 1183
40 Learning about the world through video Moritz Mueller-Freitag 1300
41 Multiword Expression Processing: A Survey Mathieu Constant, Gül?en Eryi?it, Johanna Monti, Lonneke van der Plas 1122
42 Scalable Construction and Reasoning of Massive Knowledge Bases Xiang Ren, Nanyun Peng, William Yang Wang 1216
43 Scalable Construction and Reasoning of Massive Knowledge Bases Xiang Ren, Nanyun Peng, William Yang Wang 1216
44 Named Entity Recognition and Classification David Nadeau, Satoshi Sekine 1089
45 Generative Models Andrej Karpathy, Pieter Abbeel, Greg Brockman, Peter Chen, Vicki Ch... 1200
46 Abstract Meaning Representation for Sembanking Laura Banarescu, Claire Bonial, Shu Cai, Madalina Georgescu, Kira G... 9999
47 Multilingual Relation Extraction using Compositional Universal Schema Patrick Verga, David Belanger, Emma Strubell, Benjamin Roth, Andrew... 9999
48 Multi-Scale Dense Convolutional Networks for Efficient Prediction Gao Huang, Danlu Chen, Tianhong Li, Felix Wu, Laurens van der Maate... 9999
49 Sort Story: Sorting Jumbled Images and Captions into Stories Harsh Agrawal, Arjun Chandrasekaran, Dhruv Batra, Devi Parikh, Mohi... 9999
50 Deep Learning in the Physical Sciences Kyle Cranmer 1207