Papers by Edward Newell
Constructing a Lexicon of Relational Nouns (L18-1)
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| Challenge: | Existing systems for extracting relations expressed using nouns do not exist for relational noun. |
| Approach: | They contribute a lexicon of 6,224 labeled nouns which includes 1,446 relational noun. |
| Outcome: | The proposed classifier achieves 70.4% F1 on held out nouns among the most common 2,500 word types in Gigaword. |
An Attribution Relations Corpus for Political News (L18-1)
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| Challenge: | Existing resources for recognizing attributions in context are limited in size and completeness. |
| Approach: | They propose to use the largest and most complete attribution relations corpus to date . they propose to create sophisticated end-to-end solutions for attribution extraction . |
| Outcome: | The political news attribution relations corpus 2016 is the largest and most complete attribution relations corpuse to date. |
Deconstructing word embedding algorithms (2020.emnlp-main)
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| Challenge: | Word embeddings are reliable feature representations of words used in many NLP tasks today. |
| Approach: | They propose to deconstruct Word2vec, GloVe and others into a common form . they propose to generalize several word embedding algorithms into . a low rank embedder framework is proposed to generalise the algorithms into one common form. |
| Outcome: | The proposed framework can be used to make word embeddings more performant. |