Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Mark Sammons"'
Publikováno v:
Computational Linguistics, Vol 43, Iss 4 (2017)
This article considers the problem of correcting errors made by English as a Second Language writers from a machine learning perspective, and addresses an important issue of developing an appropriate training paradigm for the task, one that accounts
Externí odkaz:
https://doaj.org/article/fe92deaefb584ad79ac8fa83d4f6efd4
Publikováno v:
Machine Translation. 32:91-103
This paper describes Illinois Cognitive Computation Group’s system for the 2016 NIST Low Resource Human Language Technology (LoReHLT) evaluation, in which the target language is Uyghur. We participate in two tasks, named entity recognition (NER) an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d8afc9bc23a8f3b38de2ac2ddf416b4
https://doi.org/10.1007/s10590-017-9211-5
https://doi.org/10.1007/s10590-017-9211-5
Publikováno v:
Computational Linguistics. 43:723-760
This article considers the problem of correcting errors made by English as a Second Language writers from a machine learning perspective, and addresses an important issue of developing an appropriate training paradigm for the task, one that accounts
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e80d07ec498143fd63a8f122ba18f99d
https://doi.org/10.1162/coli_a_00299
https://doi.org/10.1162/coli_a_00299
Publikováno v:
EMNLP
Character-level patterns have been widely used as features in English Named Entity Recognition (NER) systems. However, to date there has been no direct investigation of the inherent differences between name and non-name tokens in text, nor whether th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8af421c869b5e1eae1671206c4f5d2f8
https://doi.org/10.18653/v1/d18-1345
https://doi.org/10.18653/v1/d18-1345
Publikováno v:
Synthesis Lectures on Human Language Technologies. 6:1-220
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a5d259456aafd254503d96eef74685e
https://doi.org/10.2200/s00509ed1v01y201305hlt023
https://doi.org/10.2200/s00509ed1v01y201305hlt023
Autor:
Mark Sammons
Publikováno v:
The Handbook of Contemporary Semantic Theory
Since 2005, researchers have worked on a broad task called Recognizing Textual Entailment (RTE), which is designed to focus efforts on general textual inference capabilities, but without constraining participants to use a specific representation or r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c7330001e26728da480a9c9b79e5743
https://doi.org/10.1002/9781118882139.ch17
https://doi.org/10.1002/9781118882139.ch17
Publikováno v:
CoNLL Shared Task
Hong Kong University of Science and Technology
Hong Kong University of Science and Technology
We present a system that implements an end-to-end discourse parser. The system uses a pipeline architecture with seven stages: preprocessing, recognizing explicit connectives, identifying argument positions, identifying and labeling arguments, classi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5fc1d69c909340ed0187f7eabe66bf55
https://doi.org/10.18653/v1/k15-2012
https://doi.org/10.18653/v1/k15-2012
In the last few years, a number of NLP researchers have developed and participated in the task of Recognizing Textual Entailment (RTE). This task encapsulates Natural Language Understanding capabilities within a very simple interface: recognizing whe
Publikováno v:
Psychotherapy Research. 12:59-77
This article reintroduces an alternative method of thematic structure and content analysis called FRAMES (Fundamental, Repetitive, and Maladaptive Emotion Structures). Although this measure has been generally received as clinically sensitive and comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57cb92dd7f693995bf1f9efe1417a18a
https://doi.org/10.1080/713869617
https://doi.org/10.1080/713869617
Publikováno v:
CoNLL Shared Task
New York University Scholars
New York University Scholars
The CoNLL-2014 shared task is an extension of last year’s shared task and focuses on correcting grammatical errors in essays written by non-native learners of English. In this paper, we describe the Illinois-Columbia system that participated in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17f366b6174383845191fdc76a9fc221
https://doi.org/10.3115/v1/w14-1704
https://doi.org/10.3115/v1/w14-1704