Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Tapas Nayak"'
Publikováno v:
Proceedings of The Fifth Workshop on e-Commerce and NLP (ECNLP 5).
Aspect Sentiment Triplet Extraction (ASTE) deals with extracting opinion triplets, consisting of an opinion target or aspect, its associated sentiment, and the corresponding opinion term/span explaining the rationale behind the sentiment. Existing re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47e7b612c885b09c71bd4c858778cd03
http://arxiv.org/abs/2110.04794
http://arxiv.org/abs/2110.04794
Publikováno v:
RANLP
Distantly supervised models are very popular for relation extraction since we can obtain a large amount of training data using the distant supervision method without human annotation. In distant supervision, a sentence is considered as a source of a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b37b8c63777505d77364d3cd92e494f5
http://arxiv.org/abs/2108.09689
http://arxiv.org/abs/2108.09689
Autor:
Tapas Nayak, Hwee Tou Ng
Publikováno v:
RANLP
Distantly supervised datasets for relation extraction mostly focus on sentence-level extraction, and they cover very few relations. In this work, we propose cross-document relation extraction, where the two entities of a relation tuple appear in two
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b4913857886d7d360da9b1b22601c00
http://arxiv.org/abs/2108.09505
http://arxiv.org/abs/2108.09505
Publikováno v:
CIKM
Aspect Sentiment Triplet Extraction (ASTE) is the task of extracting triplets of aspect terms, their associated sentiments, and the opinion terms that provide evidence for the expressed sentiments. Previous approaches to ASTE usually simultaneously e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ade4cd996f746cf5ef65ed19954b839f
http://arxiv.org/abs/2108.06107
http://arxiv.org/abs/2108.06107
Recently, with the advances made in continuous representation of words (word embeddings) and deep neural architectures, many research works are published in the area of relation extraction and it is very difficult to keep track of so many papers. To
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87aba7cf2c8bd3a7c823707b785159d6
Autor:
Hwee Tou Ng, Tapas Nayak
Publikováno v:
AAAI
A relation tuple consists of two entities and the relation between them, and often such tuples are found in unstructured text. There may be multiple relation tuples present in a text and they may share one or both entities among them. Extracting such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0661f4f2a24624d5a491979f0480a318
http://arxiv.org/abs/1911.09886
http://arxiv.org/abs/1911.09886
Autor:
Tapas Nayak, Hwee Tou Ng
Publikováno v:
CoNLL
Relation extraction is the task of determining the relation between two entities in a sentence. Distantly-supervised models are popular for this task. However, sentences can be long and two entities can be located far from each other in a sentence. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b82255106b98d948fbda171b8e845c0c
Publikováno v:
Information Sciences. 65:189-224
Characterization of additive cellular automata (CA) on the basis of the invariant, minimal and characteristic polynomials is reported in this paper. It is shown how a topological parameter, namely depth of the state transition graph of a CA, can be c