[PDF] Top 20 Fill the GAP: Exploiting BERT for Pronoun Resolution
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Fill the GAP: Exploiting BERT for Pronoun Resolution
... dered pronoun resolution competition which achieved fourth place without data augmen- ...optimal BERT layer to extract representations for pronoun resolution; and the difference be- ... See full document
5
MSnet: A BERT based Network for Gendered Pronoun Resolution
... pre-trained BERT based network model for the gendered pronoun resolution ...the pronoun and the ...the GAP dateset, the model trained by the fine-tuning approach with premature strategy ... See full document
7
An Example-Based Approach to Difficult Pronoun Resolution
... A previous work by Rahman and Ng (2012) showed that two sources of world knowledge, in- cluding narrative chains (Chambers and Jurafsky, 2008) and page counts returned by a search engine, are useful for resolving ... See full document
10
Chinese Zero Pronoun Resolution with Deep Neural Networks
... we fill the corresponding AZP's gap with ...to fill the gaps of the AZPs resolved so ...the resolution of z ...the gap left behind by, say, AZP z ′ , we postprocess the output by ... See full document
11
Anonymized BERT: An Augmentation Approach to the Gendered Pronoun Resolution Challenge
... 2. By using the same set of names in both training and inference, the noise from individual names are further reduced, i.e., the model will likely know they are names when it sees the same placeholder names during ... See full document
6
Transfer Learning from Pre trained BERT for Pronoun Resolution
... Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V. Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, Jeff Klingner, Apurva Shah, Melvin Johnson, Xiaobing Liu, Lukasz Kaiser, Stephan ... See full document
7
Generating and Exploiting Large scale Pseudo Training Data for Zero Pronoun Resolution
... zero pronoun resolution are heavily relying on annotated data, which is often released by shared task ...zero pronoun resolution ...zero pronoun resolution task and propose a ... See full document
10
Dialogue focus tracking for zero pronoun resolution
... “Pro-drop” languages like Chinese, Japanese and Turkish allow for dropping of pronouns when the referents of those pronouns can be inferred. English is typically not pro-drop, but is unusual in that re- gard: two thirds ... See full document
10
Resolving Gendered Ambiguous Pronouns with BERT
... in pronoun resolution (when systems favor masculine entities) and a gender- balanced labeled corpus of 8,908 ambiguous pronoun-name pairs sampled to provide diverse coverage of challenges posed by ... See full document
7
BERT for Coreference Resolution: Baselines and Analysis
... ambiguous pronoun-name pairs derived from Wikipedia snippets. Examples in the GAP dataset fit within a single BERT segment, thus eliminating the need for cross-segment ...our BERT-based ... See full document
6
BERT Masked Language Modeling for Co reference Resolution
... The GAP dataset (Webster et ...a pronoun that is present in the text and its offset and two different names (name A and name B) also present in the ...The pronoun refers to one of these two names and ... See full document
6
A Computational Model of Human Preferences for Pronoun Resolution
... the implementation of the model, many questions about how the features should be implemented arose. For example, implementing the parallel function turned out to be less straightforward than initially expected. We had to ... See full document
11
A Corpus Based Evaluation of Centering and Pronoun Resolution
... In this paper we compare pronoun resolution algorithms and introduce a centering algorithm Left- Right Centering that adheres to the constraints and rules of centering theory and is an a[r] ... See full document
14
Aiding Pronoun Translation with Co Reference Resolution
... the pronoun refers to an antecedent in a previous ...necessary pronoun classification as a external task. Hence, the pronoun it is annotated, resulting in the three different surface forms presented ... See full document
10
A Machine Learning Approach to German Pronoun Resolution
... coreference resolution covering definite noun phrases, proper names and personal, possessive and demonstrative ...state-of-the-art resolution systems for ... See full document
6
Challenges in Pronoun Resolution System for Biomedical Text
... co-reference resolution, and for anaphora resolu- tion ...corpus-based pronoun resolution ...noun resolution system for the bio ...based pronoun resolution system composed of ... See full document
5
Attention Is (not) All You Need for Commonsense Reasoning
... We first examine our method on PDP-60 for the Pronoun Disambiguation task. In Tab. 1 (top), our method outperforms all previous unsupervised results sharply. Next, we allow other systems to take in necessary ... See full document
6
Exploiting BERT for End to End Aspect based Sentiment Analysis
... employ BERT to calculate the contextualized token-level repre- sentations but kept the parameters of BERT com- ponent unchanged in the training ...the BERT-based models and those keeping BERT ... See full document
8
Deep Reinforcement Learning for Chinese Zero Pronoun Resolution
... zero pronoun encoder. The encoder learns to encode the zero pronoun by its associ- ated text into its vector-space ...zero pronoun, ...zero pronoun, exploiting sentence-level ... See full document
10
The influence of the temporal characteristics of events on children's pronoun resolution
... grammatical Object. The regular verbs were: to hand, to toss, to chuck and to carry. The irregular verbs were: to take, to give, to bring and to throw. These verbs were selected from the 12 used in the experiments in ... See full document
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