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level. The definition of concrete measures is then obtained by assigning actual values to the functional parameters of the abstract definition; some particular cases are shown and discussed in detail. …...

A computational model for the acquisition of knowledge from encyclopedic texts is de- scribed. The model has been implemented in a program, called SNOWY, that reads unedited texts from The …...

We present an algorithm for bilingual word alignment that extends previous work by treating multi-word candidates on a par with single words, and combining some simple assumptions about the translation …...

We describe a mechanism for the interpretation of arguments, which can cope with noisy conditions in terms of wording, beliefs and argument struc- ture. This is achieved through the application …...

This paper discusses two problems that arise in the Generation of Referring Expressions: (a) numeric-valued attributes, such as size or location; (b) perspective-taking in reference. Both problems, it is argued, …...

We introduce a word segmentation ap- proach to languages where word bound- aries are not orthographically marked, with application to Phrase-Based Statis- tical Machine Translation (PB-SMT). In- stead of using …...

We present a simple and effective method for extracting parallel sentences from comparable corpora. We employ a sta- tistical machine translation (SMT) system built from small amounts of parallel texts …...

AbstractThis paper presents the outline and performance of an automatic syllable boundary detection system. The syllabification of phonemes is performed with a rule-based system, implemented in a Java program. Phonemes …...

AbstractAssessing the correctness of extracted data requires performance evaluation, which is accomplished by calculating quality metrics. The evaluation process must cope with the challenges posed by information extraction and natural …...

Many NLP tasks rely on accurate statis- tics from large corpora. Tracking com- plete statistics is memory intensive, so recent work has proposed using compact approx- imate “sketches” of frequency …...

AbstractThis paper presents a multi-dialect, multi-genre, human annotated corpus of dialectal Arabic. We collected utterances in five Arabic dialects: Levantine, Gulf, Egyptian, Iraqi and Maghrebi. We scraped newspaper websites for …...

AbstractTwitter has become one of the quintessential social media platforms for user-generated content. Researchers and industry practitioners are increasingly interested in Twitter sentiments. Consequently, an array of commercial and freely …...

Automatically compiling bilingual dictio- naries of technical terms from comparable corpora is a challenging problem, yet with many potential applications. In this paper, we exploit two independent observations about term …...

We present a novel approach for rapidly developing a corpus with discourse annotations using crowdsourcing. Although discourse annotations typically require much time and cost owing to their complex nature, we …...

As part of the SemEval-2015 shared task on Broad-Coverage Semantic Dependency Pars- ing, we evaluate the performace of our last year’s system (TurboSemanticParser) on mul- tiple languages and out-of-domain data. …...

This paper describes an approach used to solve Aspect Category Detection (Subtask 1, Slot 1) of SemEval 2016 Task 5. The core of the pre- sented system is based on …...

AbstractIn this paper we analyze the effectiveness of using linguistic knowledge from coreference and anaphora resolution for improving the performance for supervised keyphrase extraction. In order to verify the impact …...

AbstractAlthough there has been much work in recent years on data-driven natural language generation, little attention has been paid to the fine-grained interactions that arise during microplanning between aggregation, surface …...

Delta measures are a well-established and popular family of authorship attribution methods, especially for literary texts. N-gram tracing is a novel method for authorship attribution designed for very short texts, …...

AbstractDifferent news articles about the same topic often offer a variety of perspectives: an article written about gun violence might emphasize gun control, while another might promote 2nd Amendment rights, …...

AbstractConventional multimodal tasks, such as caption generation and visual question answering, have allowed machines to understand an image by describing or being asked about it in natural language, often via …...

AbstractMany datasets have been shown to contain incidental correlations created by idiosyncrasies in the data collection process. For example, sentence entailment datasets can have spurious word-class correlations if nearly all …...

AbstractWe formulate the novel task of automatically updating an existing natural language comment based on changes in the body of code it accompanies. We propose an approach that learns to …...

AbstractWithin this work we describe a framework for the collection and summarization of information from the Web in an entity-driven manner. The framework consists of a set of appropriate workflows …...

AbstractIdeally Open-Domain Question Answering models should exhibit a number of competencies, ranging from simply memorizing questions seen at training time, to answering novel question formulations with answers seen during training, …...

AbstractAnnotation inconsistencies between data sets can cause problems for low-resource NLP, where noisy or inconsistent data cannot be easily replaced. We propose a method for automatically detecting annotation mismatches between …...

AbstractMultilingual pre-trained language models transfer remarkably well on cross-lingual downstream tasks. However, the extent to which they learn language-neutral representations (i.e., shared representations that encode similar phenomena across languages), and …...

AbstractReducing the complexity of texts by applying an Automatic Text Simplification (ATS) system has been sparking interest inthe area of Natural Language Processing (NLP) for several years and a number …...

In this paper, we propose a method of min- ing tweets that represent reviews on celebrities by the machine reading comprehension model based on BERT. The purpose of this paper …...

AbstractGarden path sentences (i.e. “the horse raced past the barn fell”) are sentences that readers initially incorrectly parse, requiring partial or total re-analysis of the sentence structure. Given human difficulty …...

AbstractLong-form question answering (LFQA) aims at answering complex, open-ended questions with detailed, paragraph-length responses. The de facto paradigm of LFQA necessitates two procedures: information retrieval, which searches for relevant supporting …...