Модели классификации

method ID: classificationmodels

Related Papers

Using Syntactic and Semantic Structural Kernels for Classifying Definition Questions in Jeopardy!

Authors: nan

Publication: TIPSTER (2011)

DOI: nan

The last decade has seen many interesting ap- plications of Question Answering (QA) tech- nology. The Jeopardy! quiz show is certainly one of the most fascinating, from the view- points …...

44298

Learning a hierarchy of specialized pairwise models for coreference resolution (Apprentissage d’une hiérarchie de modèles à paires spécialisés pour la résolution de la coréférence) [in French]

Authors: nan

Publication: TIPSTER (2013)

DOI: nan

Learning a hierarchy of specialized pairwise models for coreference resolution This paper proposes a new method for significantly improving the performance of pairwise coreference models. Given a set of indicators, …...

1939

Developing Age and Gender Predictive Lexica over Social Media

Authors: nan

Publication: TIPSTER (2014)

DOI: nan

Demographic lexica have potential for widespread use in social science, economic, and business applications. We derive predic- tive lexica (words and weights) for age and gender using regression and classification …...

34509

Modeling Language Proficiency Using Implicit Feedback

Authors: nan

Publication: TIPSTER (2014)

DOI: nan

AbstractWe describe the results of several experiments with interactive interfaces for native and L2 English students, designed to collect implicit feedback from students as they complete a reading activity. In …...

17033

Ensemble Classification of Grants using LDA-based Features

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

AbstractClassifying research grants into useful categories is a vital task for a funding body to give structure to the portfolio for analysis, informing strategic planning and decision-making. Automating this classification …...

16450

deepSA2018 at SemEval-2018 Task 1: Multi-task Learning of Different Label for Affect in Tweets

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractThis paper describes our system implementation for subtask V-oc of SemEval-2018 Task 1: affect in tweets. We use multi-task learning method to learn shared representation, then learn the features for …...

26087

Towards a post-editing recommendation system for Spanish-Basque machine translation

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractThe overall machine translation quality available for professional translators working with the Spanish–Basque pair is rather poor, which is a deterrent for its adoption. This work investigates the plausibility of …...

2889

Fine-Grained Sentence Functions for Short-Text Conversation

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractSentence function is an important linguistic feature referring to a user’s purpose in uttering a specific sentence. The use of sentence function has shown promising results to improve the performance …...

39574

Dependency Patterns of Complex Sentences and Semantic Disambiguation for Abstract Meaning Representation Parsing

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractAbstract Meaning Representation (AMR) is a sentence-level meaning representation based on predicate argument structure. One of the challenges we find in AMR parsing is to capture the structure of complex …...

25226

Investigating Annotator Bias in Abusive Language Datasets

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractNowadays, social media platforms use classification models to cope with hate speech and abusive language. The problem of these models is their vulnerability to bias. A prevalent form of bias …...

20172

A Benchmark Corpus for the Detection of Automatically Generated Text in Academic Publications

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractAutomatic text generation based on neural language models has achieved performance levels that make the generated text almost indistinguishable from those written by humans. Despite the value that text generation …...

14853

Putting the Con in Context: Identifying Deceptive Actors in the Game of Mafia

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractWhile neural networks demonstrate a remarkable ability to model linguistic content, capturing contextual information related to a speaker’s conversational role is an open area of research. In this work, we …...

21521

Lexical Complexity Prediction using Word Embeddings

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

Lexical complexity is crucial for reading comprehension. In the past, research work of lexical complexity prediction mainly focuses on differentiating the complexity difference between two words. Moreover, most of the …...

1103