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1
Neural Coreference Resolution for Arabic ...
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2
Enhanced Labelling in Active Learning for Coreference Resolution ...
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3
Predicting Coreference in Abstract Meaning Representations ...
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4
NILC at SR'20: Exploring Pre-Trained Models in Surface Realisation ...
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5
Persuasiveness of News Editorials depending on Ideology and Personality ...
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6
E.T.: Entity-Transformers. Coreference augmented Neural Language Model for richer mention representations via Entity-Transformer blocks ...
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7
TwiConv: A Coreference-annotated Corpus of Twitter Conversations ...
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8
Resolving Pronouns in Twitter Streams: Context can Help! ...
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9
Matching Theory and Data with Personal-ITY: What a Corpus of Italian YouTube Comments Reveals About Personality ...
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10
Surface Realization Using Pretrained Language Models ...
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11
IMSurReal Too: IMS at the Surface Realization Shared Task 2020 ...
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12
Multilingual Emoticon Prediction of Tweets about COVID-19 ...
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13
Coreference Strategies in English-German Translation ...
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14
BME-TUW at SR’20: Lexical grammar induction for surface realization ...
Abstract: We present a system for mapping Universal Dependency structures to raw text which learns to restore word order by training an Interpreted Regular Tree Grammar (IRTG) that establishes a mapping between string and graph operations. The reinflection step is handled by a standard sequence-to-sequence architecture with a biLSTM encoder and an LSTM decoder with attention. We modify our 2019 system (Kovács et al., 2019) with a new grammar induction mechanism that allows IRTG rules to operate on lemmata in addition to part-of-speech tags and ensures that each word and its dependents are reordered using the most specific set of learned patterns. We also introduce a hierarchical approach to word order restoration that independently determines the word order of each clause in a sentence before arranging them with respect to the main clause, thereby improving overall readability and also making the IRTG parsing task tractable. We participated in the 2020 Surface Realization Shared task, subtrack T1a (shallow, closed). ...
Keyword: Computer and Information Science; Digital Media; Engineering; Information and Knowledge Engineering; Natural Language Processing; Neural Network
URL: https://underline.io/lecture/6586-bme-tuw-at-sr20-lexical-grammar-induction-for-surface-realization
https://dx.doi.org/10.48448/j2ka-6j13
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15
It's absolutely divine! Can fine-grained sentiment analysis benefit from coreference resolution? ...
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16
Integrating knowledge graph embeddings to improve mention representation for bridging anaphora resolution ...
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17
Partially-supervised Mention Detection ...
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18
Anaphoric Zero Pronoun Identification: A Multilingual Approach ...
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