Binary Classifier

Entity linking refers entity mentions in a document to their representations in a knowledge base (KB). In this paper, we propose to use additional information sources from Wikipedia to find …...

This paper proposes a method that extracts paraphrases from search engine query logs. The method first extracts paraphrase query-title pairs based on an assumption that a search query and its …...

We describe a sentiment classification method that is applicable when we do not have any la- beled data for a target domain but have some labeled data for multiple other …...

We propose a complete probabilistic discrim- inative framework for performing sentence- level discourse analysis. Our framework com- prises a discourse segmenter, based on a bi- nary classifier, and a discourse …...

Our system breaks down the problem of rank- ing a list of lexical substitutions according to how simple they are in a given context into a series of pairwise comparisons …...

This study aims to infer the social nature of conversations from their content automat- ically. To place this work in context, our moti- vation stems from the need to understand …...

We propose a tuning method for statistical ma- chine translation, based on the pairwise rank- ing approach. Hopkins and May (2011) pre- sented a method that uses a binary classifier. …...

AbstractDefining the reordering search space is a crucial issue in phrase-based SMT between distant languages. In fact, the optimal trade-off between accuracy and complexity of decoding is nowadays reached by …...

This article describes a strategy based on a naive-bayes classifier for detecting the po- larity of English tweets. The experiments have shown that the best performance is achieved by using …...

AbstractParallel corpora are crucial for statistical machine translation (SMT). However, they are quite scarce for most language pairs, such as Chinese―Japanese. As comparable corpora are far more available, many studies …...

Interpreting event mentions in text is cen- tral to many tasks from scientific research to intelligence gathering. We present an event trigger detection system and explore baseline configurations. Specifically, we …...

This paper describes the Universitat d’Alacant submissions (labelled as UAla- cant) for the machine translation quality estimation (MTQE) shared task in WMT 2015, where we participated in the word- level …...

AbstractIn this paper, we investigate four important issues together for explicit discourse relation labelling in Chinese texts: (1) discourse connective extraction, (2) linking ambiguity resolution, (3) relation type disambiguation, and …...

AbstractWe extend classic review mining work by building a binary classifier that predicts whether a review of a documentary film was written by an expert or a layman with 90.70% …...

This paper describes our system for aspect- based sentiment analysis (ABSA). We partic- ipate in Subtask 1 (sentence-level ABSA), fo- cusing specifically on aspect category detec- tion. We train a …...

AbstractThis paper investigates how to improve performance on information extraction tasks by constraining and sequencing CRF-based approaches. We consider two different relation extraction tasks, both from the medical literature: dependence …...

AbstractWritten communication lacks the multimodal features such as posture, gesture and gaze that make it easy to model affective states. Especially in social media such as Twitter, due to the …...

AbstractEmotion-cause pair extraction (ECPE) aims at extracting emotions and causes as pairs from documents, where each pair contains an emotion clause and a set of cause clauses. Existing approaches address …...

AbstractIntent detection is one of the core components of goal-oriented dialog systems, and detecting out-of-scope (OOS) intents is also a practically important skill. Few-shot learning is attracting much attention to …...

AbstractThe “Detection of Propaganda Techniques in News Articles” task at the SemEval 2020 competition focuses on detecting and classifying propaganda, pervasive in news article. In this paper, we present a …...

Although sentiment is conceptualized as a con- tinuous variable, most text-based sentiment analyses categorize texts into discrete senti- ment categories. Compared to discrete catego- rizations, continuous sentiment estimates pro- vide …...

AbstractIt’s difficult to optimize individual label performance of multi-label text classification, especially in those imbalanced data containing long-tailed labels. Therefore, this study proposes a response-based knowledge distillation mechanism comprising a …...

AbstractWe describe the University of Alberta systems for the SemEval-2022 Task 2 on multilingual idiomaticity detection. Working under the assumption that idiomatic expressions are noncompositional, our first method integrates information …...