Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Manfred Klenner"'
Autor:
Manfred Klenner, Henriëtte Visser
Publikováno v:
Linguistik Online, Vol 17, Iss 5 (2003)
We introduce a dialogue-based explanation facility for Intelligent CALL (ICALL) Systems. Our prototype system, DiBEx, uses meta reasoning to build up an explanation (error) tree, given a faulty user input. It relies on correct grammatical subtheories
Externí odkaz:
https://doaj.org/article/cb355386a3e24f7c97f3ca33d3e3b875
Autor:
Manfred Klenner, Thomas Hanneforth
Publikováno v:
Proceedings of the Twentieth Annual Conference of the Cognitive Science Society ISBN: 9781315782416
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a1ff219bd761008cd66e7ecc9cefac2
https://doi.org/10.4324/9781315782416-107
https://doi.org/10.4324/9781315782416-107
Publikováno v:
Computational Linguistics and Intelligent Text Processing ISBN: 9783319771151
CICLing (2)
University of Zurich
CICLing (2)
University of Zurich
We introduce a model for attitude prediction that takes the reader and the writer perspectives into account and enables a joint reception of the attitudinal dispositions involved. For instance, a proponent of the reader might turn out to be a villain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d638744cec056ea9b31a3b1eba4aaea4
https://doi.org/10.1007/978-3-319-77116-8_11
https://doi.org/10.1007/978-3-319-77116-8_11
Autor:
Manfred Klenner
Publikováno v:
Text, Speech, and Dialogue ISBN: 9783319642055
TSD
TSD
Attitude prediction strives to determine whether an opinion holder is positive or negative towards a given target. We cast this problem as a lexicon engineering task in the context of deep linguistic grammar formalisms such as LFG or HPSG. Moreover,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e8fca01640e5557bbc0248858f29632
https://doi.org/10.5167/uzh-139437
https://doi.org/10.5167/uzh-139437
Autor:
Stefanos Petrakis, Manfred Klenner
Publikováno v:
Data & Knowledge Engineering. 90:13-21
The current endeavour focuses on the notion of positive versus negative polarity preferences of verbs for their direct objects. We observed verbs with a relatively clear positive or negative polarity preference (called polar ), as well as cases of ve
Publikováno v:
Language Resources and Evaluation. 47:1049-1088
In this article, we examine the effectiveness of bootstrapping supervised machine-learning polarity classifiers with the help of a domain-independent rule-based classifier that relies on a lexical resource, i.e., a polarity lexicon and a set of lingu
Autor:
Manfred Klenner
Publikováno v:
WASSA@NAACL-HLT
Autor:
Manfred Klenner
Publikováno v:
WASSA@EMNLP
We introduce description logics as a means to carry out sentiment inferences triggered by some verbs on their seman- tic roles. Verbs might impose polar effects on some roles, but also have polar expectations on other roles. For instance, an entity i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29ab31ba3fe46fce80a6789604af8331
https://www.zora.uzh.ch/id/eprint/115454/
https://www.zora.uzh.ch/id/eprint/115454/
Publikováno v:
SemEval@COLING
University of Copenhagen
University of Copenhagen
This paper describes the details of our system submitted to the SemEval-2014 shared task about aspect-based sentiment analysis on review texts. We participated in subtask 2 (prediction of the polarity of aspect terms) and 4 (prediction of the polarit
Publikováno v:
WASSA@ACL
In this paper, we discuss how domainspecific noun polarity lexicons can be induced. We focus on the generation of good candidates and compare two machine learning scenarios in order to establish an approach that produces high precision. Candidates ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92529da7aa65052ace9e82a18cfdb39d
https://www.zora.uzh.ch/id/eprint/99627/
https://www.zora.uzh.ch/id/eprint/99627/