Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Behzad Golshan"'
Publikováno v:
KDD
User-Generated text is a rich source of user insights and experiences that can be very helpful in many different daily life situations, such as when deciding what product to buy, what hotel to stay, what company to apply for a job, what region to buy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5f3d377b6135c1877c251b3eb66f107
https://doi.org/10.1145/3447548.3469477
https://doi.org/10.1145/3447548.3469477
Publikováno v:
SIGMOD Conference
Creating and collecting labeled data is one of the major bottlenecks in machine learning pipelines and the emergence of automated feature generation techniques such as deep learning, which typically requires a lot of training data, has further exacer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72a85c5af124b9cf897c1fa86a1b6b45
https://doi.org/10.1145/3448016.3457334
https://doi.org/10.1145/3448016.3457334
Publikováno v:
Expert Systems with Applications. 119:441-455
In recent years, the proliferation of online resumes and the need to evaluate large populations of candidates for on-site and virtual teams have led to a growing interest in automated team-formation. Given a large pool of candidates, the general prob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ec6801b541ac16a30493bbd681c9e80
https://doi.org/10.1016/j.eswa.2018.10.046
https://doi.org/10.1016/j.eswa.2018.10.046
Publikováno v:
Bjerva, J, Bhutani, N, Golshan, B, Tan, W-C & Augenstein, I 2020, SubjQA : A Dataset for Subjectivity and Review Comprehension . in Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) . Association for Computational Linguistics, Online, pp. 5480-5494, The 2020 Conference on Empirical Methods in Natural Language Processing, 16/11/2020 . < https://www.aclweb.org/anthology/2020.emnlp-main.442 >
EMNLP (1)
Bjerva, J, Bhutani, N, Golshan, B, Tan, W & Augenstein, I 2020, SubjQA : A Dataset for Subjectivity and Review Comprehension . in SUBJQA: A Dataset for Subjectivity and Review Comprehension . Association for Computational Linguistics, pp. 5480-5494, The 2020 Conference on Empirical Methods in Natural Language Processing, 16/11/2020 . https://doi.org/10.18653/v1/2020.emnlp-main.442
EMNLP (1)
Bjerva, J, Bhutani, N, Golshan, B, Tan, W & Augenstein, I 2020, SubjQA : A Dataset for Subjectivity and Review Comprehension . in SUBJQA: A Dataset for Subjectivity and Review Comprehension . Association for Computational Linguistics, pp. 5480-5494, The 2020 Conference on Empirical Methods in Natural Language Processing, 16/11/2020 . https://doi.org/10.18653/v1/2020.emnlp-main.442
Subjectivity is the expression of internal opinions or beliefs which cannot be objectively observed or verified, and has been shown to be important for sentiment analysis and word-sense disambiguation. Furthermore, subjectivity is an important aspect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea95cdeb9f4a1998bbcf29d1aa8f161b
http://arxiv.org/abs/2004.14283
http://arxiv.org/abs/2004.14283
Autor:
Behzad Golshan, Aaron Feng, Alon Halevy, Xiaolan Wang, Jiyu Komiya, Yoshihiko Suhara, Wang-Chiew Tan
Publikováno v:
Proceedings of the VLDB Endowment. 11:2018-2021
K oko is a declarative information extraction system that incorporates advances in natural language processing techniques in its extraction language. K oko 's extraction language supports simultaneous specification of conditions over the surface synt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60c2b3e5f5e796c6766a7ae5f8066496
https://doi.org/10.14778/3229863.3236249
https://doi.org/10.14778/3229863.3236249
Autor:
Xiaolan Wang, Alon Halevy, Wang-Chiew Tan, Hidekazu Oiwa, Aaron Feng, Behzad Golshan, George A. Mihaila
Publikováno v:
Proceedings of the VLDB Endowment. 11:961-974
We present the Koko system that takes declarative information extraction to a new level by incorporating advances in natural language processing techniques in its extraction language. K oko is novel in that its extraction language simultaneously supp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15462303b0d2f94e758f78fe9f9f2d94
https://doi.org/10.14778/3213880.3213887
https://doi.org/10.14778/3213880.3213887
Publikováno v:
ACM Transactions on Intelligent Systems and Technology. 8:1-35
Access to diverse perspectives nurtures an informed citizenry. Google and Bing have emerged as the duopoly that largely arbitrates which English-language documents are seen by web searchers. We present our empirical study over the search results prod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f6de7dec12243e428f55e89538a5bae
https://doi.org/10.1145/3057731
https://doi.org/10.1145/3057731
Publikováno v:
AAAI
We present Emu, a system that semantically enhances multilingual sentence embeddings. Our framework fine-tunes pre-trained multilingual sentence embeddings using two main components: a semantic classifier and a language discriminator. The semantic cl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d1736dd9e83e551a186a957f81229be
http://arxiv.org/abs/1909.06731
http://arxiv.org/abs/1909.06731
Publikováno v:
TextGraphs@EMNLP
Paraphrases are important linguistic resources for a wide variety of NLP applications. Many techniques for automatic paraphrase mining from general corpora have been proposed. While these techniques are successful at discovering generic paraphrases,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::960d62d672af4da11611b983ac683e75
https://doi.org/10.18653/v1/d19-5307
https://doi.org/10.18653/v1/d19-5307