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In free word order languages, every s('.ni;cn(:(~ is cml)eddcd in its specific contexL The order of consl;ituenLs is d('tcrmincd l)y the categories theme, theme and contrastive J'oc'us. This pa- per …...

Context is used in many NLP systems as an indicator of a term’s syntactic and se- mantic function. The accuracy of the sys- tem is dependent on the quality and …...

We present a new HMM tagger that exploits context on both sides of a word to be tagged, and evaluate it in both the unsupervised and supervised case. Along the …...

This paper focuses on the task of colloca- tion polarity disambiguation. The collocation refers to a binary tuple of a polarity word and a target (such as ⟨long, battery life⟩ …...

AbstractIt is well-known that human listeners significantly outperform machines when it comes to transcribing speech. This paper presents a progress report of the joint research in the automatic vs human …...

We propose an unsupervised approach for substring-based transliteration which in- corporates two new sources of knowledge in the learning process: (i) context by learning substring mappings, as opposed to single …...

AbstractIn this paper, we investigate the effectiveness of using rich annotations in deep neural network (DNN)-based statistical speech synthesis. DNN-based frameworks typically use linguistic information as input features called context …...

AbstractSeveral quality dimensions of natural language arguments have been investigated. Some are likely to be reflected in linguistic features (e.g., an argument’s arrangement), whereas others depend on context (e.g., relevance) …...

AbstractIt is appealing to have a system that generates a story or scripts automatically from a storyline, even though this is still out of our reach. In dialogue systems, it …...

AbstractModeration is crucial to promoting healthy online discussions. Although several ‘toxicity’ detection datasets and models have been published, most of them ignore the context of the posts, implicitly assuming that …...

AbstractUnderstanding language requires grasping not only the overtly stated content, but also making inferences about things that were left unsaid. These inferences include presuppositions, a phenomenon by which a listener …...

AbstractIn this paper, we study the importance of context in predicting the citation worthiness of sentences in scholarly articles. We formulate this problem as a sequence labeling task solved using …...

AbstractWe probe pre-trained transformer language models for bridging inference. We first investigate individual attention heads in BERT and observe that attention heads at higher layers prominently focus on bridging relations …...

AbstractWhen strong partial-input baselines reveal artifacts in crowdsourced NLI datasets, the performance of full-input models trained on such datasets is often dismissed as reliance on spurious correlations. We investigate whether …...