Articles

We are presenting work on recognising acro- nyms of the form Long-Form (Short-Form) such as “International Monetary Fund (IMF)” in millions of news articles in twenty-two lan- guages, as part of our more general effort to recognise entities and their variants in news text and to use them for the …...

The occurrence of syntactic phenomena such as coordination and subordination is characteristic of long, complex sentences. Text simplification systems need to detect and categorise constituents in order to generate simpler sentences. These con- stituents are typically bounded or linked by signs of syntactic complexity, which in- clude conjunctions, complementisers, wh- …...

Verbs in Romanian sometimes manifest local irregularities in the form of alternat- ing letters. We present a sequence tag- ging based method for learning stem al- ternations and ending sequences. Super- vised training is based on a morphologi- cal dictionary, with a few regular expres- sion paradigms encoded by hand. …...

We link the weighted maximum entropy and the optimization of the expected Fβ- measure, by viewing them in the frame- work of a general common multi-criteria optimization problem. As a result, each solution of the expected Fβ-measure max- imization can be realized as a weighted maximum likelihood solution - a …...

This paper proposes a nonparametric Bayesian method for inducing Part-of- Speech (POS) tags in dependency trees to improve the performance of statistical machine translation (SMT). In particular, we extend the monolingual infinite tree model (Finkel et al., 2007) to a bilin- gual scenario: each hidden state (POS tag) of a …...

While domain adaptation techniques for SMT have proven to be effective at im- proving translation quality, their practical- ity for a multi-domain environment is of- ten limited because of the computational and human costs of developing and main- taining multiple systems adapted to differ- ent domains. We present an architecture …...

Understanding the connotation of words plays an important role in interpreting sub- tle shades of sentiment beyond denotative or surface meaning of text, as seemingly objective statements often allude nuanced sentiment of the writer, and even purpose- fully conjure emotion from the readers’ minds. The focus of this paper is …...

This paper describes a method of in- ducing wide-coverage CCG resources for Japanese. While deep parsers with corpus- induced grammars have been emerging for some languages, those for Japanese have not been widely studied, mainly be- cause most Japanese syntactic resources are dependency-based. Our method first integrates multiple dependency-based cor- …...

This paper proposes a novel two-stage method for mining opinion words and opinion targets. In the first stage, we propose a Sentiment Graph Walking algo- rithm, which naturally incorporates syn- tactic patterns in a Sentiment Graph to ex- tract opinion word/target candidates. Then random walking is employed to estimate confidence …...

Mining opinion targets is a fundamen- tal and important task for opinion min- ing from online reviews. To this end, there are usually two kinds of methods: syntax based and alignment based meth- ods. Syntax based methods usually ex- ploited syntactic patterns to extract opin- ion targets, which were however …...

The acquisition of Belief verbs lags be- hind the acquisition of Desire verbs in children. Some psycholinguistic theo- ries attribute this lag to conceptual differ- ences between the two classes, while oth- ers suggest that syntactic differences are responsible. Through computational ex- periments, we show that a probabilistic verb learning …...

In this paper, we address the problem of identifying relevant product aspects in a collection of online customer reviews. Be- ing able to detect such aspects represents an important subtask of aspect-based re- view mining systems, which aim at auto- matically generating structured summaries of customer opinions. We cast the …...

We propose a flexible and effective frame- work for extracting a bilingual dictionary from comparable corpora. Our approach is based on a novel combination of topic modeling and word alignment techniques. Intuitively, our approach works by con- verting a comparable document-aligned corpus into a parallel topic-aligned cor- pus, then learning …...

Distributed word representations (word embeddings) have recently contributed to competitive performance in language modeling and several NLP tasks. In this work, we train word embeddings for more than 100 languages using their cor- responding Wikipedias. We quantitatively demonstrate the utility of our word em- beddings by using them as the …...

The use of pivot languages and word- alignment techniques over bilingual cor- pora has proved an effective approach for extracting paraphrases of words and short phrases. However, inherent ambiguities in the pivot language(s) can lead to inade- quate paraphrases. We propose a novel ap- proach that is able to extract …...

In this work, we present an approach for multilingual portability of Spoken Lan- guage Understanding systems. The goal of this approach is to avoid the effort of ac- quiring and labeling new corpora to learn models when changing the language. The work presented in this paper is focused on the …...

This paper presents a collapsed variational Bayesian inference algorithm for PCFGs that has the advantages of two dominant Bayesian training algorithms for PCFGs, namely variational Bayesian inference and Markov chain Monte Carlo. In three kinds of experiments, we illustrate that our al- gorithm achieves close performance to the Hastings sampling …...

Previous incremental parsers have used monotonic state transitions. However, transitions can be made to revise previous decisions quite naturally, based on further information. We show that a simple adjustment to the Arc-Eager transition system to relax its monotonicity constraints can improve ac- curacy, so long as the training data in- …...

Coreference resolution systems can benefit greatly from inclusion of global context, and a number of recent approaches have demonstrated improvements when precom- puting an alignment to external knowledge sources. However, since alignment itself is a challenging task and is often noisy, ex- isting systems either align conservatively, resulting in very …...

Large-scale linguistically annotated cor- pora have played a crucial role in advanc- ing the state of the art of key natural lan- guage technologies such as syntactic, se- mantic and discourse analyzers, and they serve as training data as well as evaluation benchmarks. Up till now, however, most of the …...