source sequencelengths 14 112 | target sequencelengths 1 1 | keywords sequencelengths 0 4 |
|---|---|---|
[
"In this paper , we explore correlation of dependency relation paths to rank candidate answers in answer extraction .",
"Using the correlation measure , we compare dependency relations of a candidate answer and mapped question phrases in sentence with the corresponding relations in question .",
"Different from ... | [
"The proposed method outperforms state-of-the-art syntactic relation-based methods by up to 20% and shows it works even better on harder questions where NER performs poorly."
] | [] |
[
"Recently , many works have tried to augment the performance of Chinese named entity recognition ( NER ) using word lexicons .",
"As a representative , Lattice-LSTM ( Zhang and Yang , 2018 ) has achieved new benchmark results on several public Chinese NER datasets .",
"However , Lattice-LSTM has a complex model... | [
"The proposed efficient character-based LSTM method with lexical features achieves 6.15 times faster inference speed and better performance than previous models."
] | [] |
[
"Word embedding is central to neural machine translation ( NMT ) , which has attracted intensive research interest in recent years .",
"In NMT , the source embedding plays the role of the entrance while the target embedding acts as the terminal .",
"These layers occupy most of the model parameters for represent... | [
"Experiments on machine translation datasets involving multiple language families and scripts show that the proposed model outperforms baseline models while using fewer parameters."
] | [
"machine translation"
] |
[
"This paper explores log-based query expansion ( QE ) models for Web search .",
"Three lexicon models are proposed to bridge the lexical gap between Web documents and user queries .",
"These models are trained on pairs of user queries and titles of clicked documents .",
"Evaluations on a real world data set s... | [
"The proposed query expansion model enables retrieval systems to significantly outperform models with previous expansion models while being more transparent."
] | [
"query expansion",
"model"
] |
[
"Traditional noun phrase coreference resolution systems represent features only of pairs of noun phrases .",
"In this paper , we propose a machine learning method that enables features over sets of noun phrases , resulting in a first-order probabilistic model for coreference .",
"We outline a set of approximati... | [
"Evaluation on the ACE coreference dataset, the proposed method achieves a 45% error reduction over a previous method."
] | [
"coreference"
] |
[
"Bilingual lexicons map words in one language to their translations in another , and are typically induced by learning linear projections to align monolingual word embedding spaces .",
"In this paper , we show it is possible to produce much higher quality lexicons with methods that combine ( 1 ) unsupervised bite... | [
"The proposed method achieves the state-of-the-art in the bilingual lexical induction task while keeping the interpretability of their pipeline."
] | [
"bilingual",
"induction"
] |
[
"In this paper we show that a simple beam approximation of the joint distribution between attention and output is an easy , accurate , and efficient attention mechanism for sequence to sequence learning .",
"The method combines the advantage of sharp focus in hard attention and the implementation ease of soft att... | [
"The proposed approach outperforms soft attention models and recent hard attention and Sparsemax models on five translation tasks and also on morphological inflection tasks."
] | [] |
[
"Contrastive learning has achieved impressive success in generation tasks to militate the \" exposure bias \" problem and discriminatively exploit the different quality of references .",
"Existing works mostly focus on contrastive learning on the instance-level without discriminating the contribution of each word... | [
"The proposed model outperforms CVAE and baselines on storytelling, paraphrasing, and dialogue generation tasks."
] | [
"generation"
] |
[
"Word embedding models are typically able to capture the semantics of words via the distributional hypothesis , but fail to capture the numerical properties of numbers that appear in a text .",
"This leads to problems with numerical reasoning involving tasks such as question answering .",
"We propose a new meth... | [
"A Bi-LSTM network initialized with the proposed embedding shows the ability to capture numeration and magnitude and to perform list maximum, decoding, and addition."
] | [
"embedding"
] |
[
"We propose a novel approach to improve SMT via paraphrase rules which are automatically extracted from the bilingual training data .",
"Without using extra paraphrase resources , we acquire the rules by comparing the source side of the parallel corpus with the target-to-source translations of the target side .",... | [
"The acquired paraphrase rules improve translation qualities in oral and news domains."
] | [
"paraphrase rule",
"quality",
"improve"
] |
[
"Automatically extracting social meaning and intention from spoken dialogue is an important task for dialogue systems and social computing .",
"We describe a system for detecting elements of interactional style : whether a speaker is awkward , friendly , or flirtatious .",
"We create and use a new spoken corpus... | [
"They found several gender dependent and independent phenomena in conversations related to the speed of speaking, laughing or asking questions."
] | [
"conversation"
] |
[
"We introduce the task of predicting adverbial presupposition triggers such as also and again .",
"Solving such a task requires detecting recurring or similar events in the discourse context , and has applications in natural language generation tasks such as summarization and dialogue systems .",
"We create two... | [
"The proposed model outperforms baselines including an LSTM-based language model on most of the triggers on the two datasets."
] | [
"trigger"
] |
[
"This paper proposes a novel method that exploits multiple resources to improve statistical machine translation ( SMT ) based paraphrasing .",
"In detail , a phrasal paraphrase table and a feature function are derived from each resource , which are then combined in a log-linear SMT model for sentence-level paraph... | [
"They show that using multiple resources enhances paraphrase generation quality in precision on phrase and sentence level especially when they are similar to user queries."
] | [
"multiple resource"
] |
[
"There are many possible different semantic relationships between nominals .",
"Classification of such relationships is an important and difficult task ( for example , the well known noun compound classification task is a special case of this problem ) .",
"We propose a novel pattern clusters method for nominal... | [
"Experiments on the ACL SemEval-07 dataset show the proposed method performs better than existing methods that do not use disambiguation tags."
] | [] |
[
"Learning sentence embeddings from dialogues has drawn increasing attention due to its low annotation cost and high domain adaptability .",
"Conventional approaches employ the siamese-network for this task , which obtains the sentence embeddings through modeling the context-response semantic relevance by applying... | [
"The proposed approach outperforms baseline methods on two newly introduced tasks coupled with three multi-turn dialogue datasets in terms of MAP and Spearman's correlation measures."
] | [] |
[
"Named entity phrases are some of the most difficult phrases to translate because new phrases can appear from nowhere , and because many are domain specific , not to be found in bilingual dictionaries .",
"We present a novel algorithm for translating named entity phrases using easily obtainable monolingual and bi... | [
"The proposed algorithm is compared with human translators and a commercial system and it performs at near human translation."
] | [] |
[
"Probabilistic Latent Semantic Analysis ( PLSA ) models have been shown to provide a better model for capturing polysemy and synonymy than Latent Semantic Analysis ( LSA ) .",
"However , the parameters of a PLSA model are trained using the Expectation Maximization ( EM ) algorithm , and as a result , the trained ... | [
"They show that the model initialized in the proposed method always outperforms existing methods."
] | [] |
[
"We rely on arguments in our daily lives to deliver our opinions and base them on evidence , making them more convincing in turn .",
"However , finding and formulating arguments can be challenging .",
"In this work , we present the Arg-CTRL-a language model for argument generation that can be controlled to gene... | [
"The proposed model can generate arguments that are genuine and argumentative and grammatically correct and also counter-arguments in a transparent and interpretable way."
] | [
"argument"
] |
[
"We describe a question answering model that applies to both images and structured knowledge bases .",
"The model uses natural language strings to automatically assemble neural networks from a collection of composable modules .",
"Parameters for these modules are learned jointly with network-assembly parameters... | [
"The proposed model achieves state-of-the-arts on visual and structured domain datasets showing that coutinous representations improve the expressiveness and learnability of semantic parsers."
] | [] |
[
"Large pre-trained language models reach stateof-the-art results on many different NLP tasks when fine-tuned individually ; They also come with a significant memory and computational requirements , calling for methods to reduce model sizes ( green AI ) .",
"We propose a twostage model-compression method to reduce... | [
"The proposed method reduces the model size by 0.4x and increases inference speed by 1.45x while keeping the performance degradation minimum on the GLUE benchmark."
] | [
"model"
] |
[
"Several studies on sentence processing suggest that the mental lexicon keeps track of the mutual expectations between words .",
"Current DSMs , however , represent context words as separate features , thereby loosing important information for word expectations , such as word interrelations .",
"In this paper ,... | [
"They show that representations obtained by the proposed model outperform more complex models on two verb similarity datasets with a limited training corpus."
] | [
"verb similarity"
] |
[
"In this paper , we propose Inverse Adversarial Training ( IAT ) algorithm for training neural dialogue systems to avoid generic responses and model dialogue history better .",
"In contrast to standard adversarial training algorithms , IAT encourages the model to be sensitive to the perturbation in the dialogue h... | [
"The proposed approach can model dialogue history better and generate more diverse and consistent responses on OpenSubtitles and DailyDialog."
] | [
"diverse",
"dialogue"
] |
[
"demonstrated that corpus-extracted models of semantic knowledge can predict neural activation patterns recorded using fMRI .",
"This could be a very powerful technique for evaluating conceptual models extracted from corpora ; however , fMRI is expensive and imposes strong constraints on data collection .",
"Fo... | [
"They show that using EEG signals with corpus-based models, they can predict word level distinctions significantly above chance."
] | [
"eeg"
] |
[
"This paper introduces a new parser evaluation corpus containing around 700 sentences annotated with unbounded dependencies , from seven different grammatical constructions .",
"We run a series of off-theshelf parsers on the corpus to evaluate how well state-of-the-art parsing technology is able to recover such d... | [
"Their evaluation of existing parsers with the proposed corpus shows lower scores than reported in previous works indicating a poor ability to recover unbounded dependencies."
] | [
"parser",
"dependency",
"evaluation"
] |
[
"Learning entailment rules is fundamental in many semantic-inference applications and has been an active field of research in recent years .",
"In this paper we address the problem of learning transitive graphs that describe entailment rules between predicates ( termed entailment graphs ) .",
"We first identify... | [
"Their iterative algorithm runs by orders of magnitude faster than current exact state-of-the-art solutions while keeping close quality."
] | [] |
[
"Sponsored search is at the center of a multibillion dollar market established by search technology .",
"Accurate ad click prediction is a key component for this market to function since the pricing mechanism heavily relies on the estimation of click probabilities .",
"Lexical features derived from the text of ... | [
"The use of features obtained from the new models improves on a large sponsored search data of commercial Yahoo! search engine."
] | [] |
[
"We propose a new model for unsupervised POS tagging based on linguistic distinctions between open and closed-class items .",
"Exploiting notions from current linguistic theory , the system uses far less information than previous systems , far simpler computational methods , and far sparser descriptions in learni... | [
"The proposed method achieves equivalent performance by using 0.6% of the lexical knowledge used in baseline models."
] | [] |
[
"Non-autoregressive Transformer is a promising text generation model .",
"However , current non-autoregressive models still fall behind their autoregressive counterparts in translation quality .",
"We attribute this accuracy gap to the lack of dependency modeling among decoder inputs .",
"In this paper , we p... | [
"The proposed model achieves state-of-the-art without knowledge distillation and a competitive decoding speedup with an interactive-based model when coupled with knowledge distillation and reranking techniques."
] | [] |
[
"The clustering-based unsupervised relation discovery method has gradually become one of the important methods of open relation extraction ( OpenRE ) .",
"However , high-dimensional vectors can encode complex linguistic information which leads to the problem that the derived clusters can not explicitly align with... | [
"The proposed approach can reduce error rates significantly from the best models for open relation extraction."
] | [
"open relation extraction"
] |
[
"Prior use of machine learning in genre classification used a list of labels as classification categories .",
"However , genre classes are often organised into hierarchies , e.g. , covering the subgenres of fiction .",
"In this paper we present a method of using the hierarchy of labels to improve the classifica... | [
"The proposed model outperforms non-hierarchical models on only one corpus and they discuss that it may be due to insufficient depth or inbalance of hierarchies."
] | [] |
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