Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Thomas Lippincott"'
Autor:
Ben Van Durme, Thomas Lippincott
Publikováno v:
Proceedings of the Second Workshop on Data Science with Human in the Loop: Language Advances.
Language identification (LID), the task of determining the natural language of a given text, is an essential first step in most NLP pipelines. While generally a solved problem for documents of sufficient length and languages with ample training data,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60456eaac5d4db00a8b762c7182a28fd
https://doi.org/10.18653/v1/2021.dash-1.8
https://doi.org/10.18653/v1/2021.dash-1.8
Publikováno v:
WANLP@ACL 2019
Our submission to the MADAR shared task on Arabic dialect identification employed a language modeling technique called Prediction by Partial Matching, an ensemble of neural architectures, and sources of additional data for training word embeddings an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91f376086dc3894b5a8e70bea18e4b0a
https://doi.org/10.18653/v1/w19-4634
https://doi.org/10.18653/v1/w19-4634
Autor:
Thomas Lippincott
Publikováno v:
LaTeCH@NAACL-HLT
This work considers a task from traditional literary criticism: annotating a structured, composite document with information about its sources. We take the Documentary Hypothesis, a prominent theory regarding the composition of the first five books o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e69a4b27b5ae48438a68dca18e2544cc
https://doi.org/10.18653/v1/w19-2510
https://doi.org/10.18653/v1/w19-2510
Autor:
Annabelle Carrell, Thomas Lippincott
Publikováno v:
PEOPLES@NAACL-HTL
Twitter is a ubiquitous source of micro-blog social media data, providing the academic, industrial, and public sectors real-time access to actionable information. A particularly attractive property of some tweets is *geo-tagging*, where a user accoun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e44ec42186f8f61299b52ce65c66169
https://doi.org/10.18653/v1/w18-1107
https://doi.org/10.18653/v1/w18-1107
Autor:
Thomas Lippincott
Publikováno v:
BlackboxNLP@EMNLP
There is a long-standing interest in understanding the internal behavior of neural networks. Deep neural architectures for natural language processing (NLP) are often accompanied by explanations for their effectiveness, from general observations (e.g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::496d2301c89dd2e30fe65b30e59bc9af
https://doi.org/10.18653/v1/w18-5445
https://doi.org/10.18653/v1/w18-5445
Publikováno v:
Journal of Biomedical Informatics. 46(2):228-237
Background: Biomedical natural language processing (NLP) applications that have access to detailed resources about the linguistic characteristics of biomedical language demonstrate improved performance on tasks such as relation extraction and syntact
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3db868a04cdf33be3bfcf22e33f3dcf
Publikováno v:
ACL (1)
We present a novel way of generating unseen words, which is useful for certain applications such as automatic speech recognition or optical character recognition in low-resource languages. We test our vocabulary generator on seven low-resource langua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::759900adfb922cd4f7ad630d4d9a440c
https://doi.org/10.3115/v1/p14-1127
https://doi.org/10.3115/v1/p14-1127
Publikováno v:
BMC Bioinformatics, Vol 12, Iss 1, p 212 (2011)
BMC Bioinformatics
BMC Bioinformatics
Background Applications of Natural Language Processing (NLP) technology to biomedical texts have generated significant interest in recent years. In this paper we identify and investigate the phenomenon of linguistic subdomain variation within the bio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f4ea7dd0acbba9c54f07218dd2113b1f
http://www.dspace.cam.ac.uk/handle/1810/238287
http://www.dspace.cam.ac.uk/handle/1810/238287
Publikováno v:
Computational Linguistics and Intelligent Text Processing ISBN: 9783642003813
CICLing
CICLing
We describe a semantic clustering method designed to address shortcomings in the common bag-of-words document representation for functional semantic classification tasks. The method uses WordNet-based distance metrics to construct a similarity matrix
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::759bde60012255df8af66c3424a6c593
https://doi.org/10.1007/978-3-642-00382-0_41
https://doi.org/10.1007/978-3-642-00382-0_41