Classifiers

This paper describes measures for evaluating the three determinants of how well a probabilistic elas- sifter performs on a given test set. These determi- nants are the appropriateness, for the …...

This paper describes a method for utterance classification that does not require manual transcription of training data. The method combines domain independent acoustic models with off-the-shelf classifiers to give utterance …...

The morphology of Semitic languages is unique in the sense that the major word-formation mechanism is an inherently non-concatenative process of inter- digitation, whereby two morphemes, a root and a …...

We analyze models for semantic role assignment by defining a meta-model that abstracts over features and learning paradigms. This meta-model is based on the concept of role confusability, is de- …...

. Recognition of Multi-word Expressions (MWEs) and their relative compositionality are crucial to Natural Language Processing. Various statistical techniques have been proposed to recognize MWEs. In this paper, we integrate …...

This paper studies methods that automat- ically detect action-items in e-mail, an important category for assisting users in identifying new tasks, tracking ongoing ones, and searching for completed ones. Since …...

We address the problem of large-scale auto- matic detection of online reviews without us- ing any human labels. We propose an efficient method that combines two basic ideas: Build- ing …...

This paper proposes a method that speeds up a classifier trained with many con- junctive features: combinations of (prim- itive) features. The key idea is to pre- compute as partial …...

AbstractPlain text corpora contain much information which can only be accessed through human annotation and semantic analysis, which is typically very time consuming to perform. Analysis of such texts at …...

We present an approach to automatically re- cover hidden attributes of scientific articles, such as whether the author is a native English speaker, whether the author is a male or …...

We propose a computational framework for identifying linguistic aspects of polite- ness. Our starting point is a new corpus of requests annotated for politeness, which we use to evaluate aspects …...

Animacy detection is a problem whose solu- tion has been shown to be beneficial for a number of syntactic and semantic tasks. We present a state-of-the-art system for this task …...

We propose a technique for improving the quality of phrase-based translation systems by creating synthetic translation options—phrasal translations that are gen- erated by auxiliary translation and post- editing processes—to augment …...

This paper is an overview of the SwatCS system submitted to SemEval-2013 Task 2A: Contextual Polarity Disambiguation. The sen- timent of individual phrases within a tweet are labeled using a …...

Many discourse relations are explicitly marked with discourse connectives, and these examples could potentially serve as a plentiful source of training data for recog- nizing implicit discourse relations. How- ever, …...

The subconscious influence of framing on per- ceptions of political issues is well-document in political science and communication re- search. A related line of work suggests that drawing attention to …...

AbstractIn this paper, we address the problem of generating English tag questions (TQs) (e.g. it is, isn’t it?) in Machine Translation (MT). We propose a post-edition solution, formulating the problem …...

AbstractTemples are an integral part of culture and heritage of India and are centers of religious practice for practicing Hindus. A scientific study of temples can reveal valuable insights into …...

AbstractSemantic embeddings have advanced the state of the art for countless natural language processing tasks, and various extensions to multimodal domains, such as visual-semantic embeddings, have been proposed. While the …...

AbstractThis article studies the application of the #BenderRule in Natural Language Processing (NLP) articles according to two dimensions. Firstly, in a contrastive manner, by considering two major international conferences, LREC …...

AbstractThis paper investigates how hate speech varies in systematic ways according to the identities it targets. Across multiple hate speech datasets annotated for targeted identities, we find that classifiers trained …...

AbstractThe European Language Grid enables researchers and practitioners to easily distribute and use NLP resources and models, such as corpora and classifiers. We describe in this paper how, during the …...

AbstractDocument authoring involves a lengthy revision process, marked by individual edits that are frequently linked to comments. Modeling the relationship between edits and comments leads to a better understanding of …...

AbstractDialog systems are often designed or trained to output human-like responses. However, some responses may be impossible for a machine to truthfully say (e.g. “that movie made me cry”). Highly …...

AbstractTransformer-based models are now predominant in NLP.They outperform approaches based on static models in many respects. This success has in turn prompted research that reveals a number of biases in …...

AbstractWe present a large, multilingual study into how vision constrains linguistic choice, covering four languages and five linguistic properties, such as verb transitivity or use of numerals. We propose a …...

AbstractWe explore the idea of incorporating concepts from writing skills curricula into human-machine collaborative writing scenarios, focusing on adding writing modes as a control for text generation models. Using crowd-sourced …...