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"Distributed representations of sentences have become ubiquitous in natural language processing tasks.",
"In this paper, we consider a continual learning scenario for sentence representations: Given a sequence of corpora, we aim to optimize the sentence encoder with respect to the new corpus while maintaining its... | [
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"Task variance regularization, which can be used to improve the generalization of Multitask Learning (MTL) models, remains unexplored in multi-task text classification.",
"Accordingly, to fill this gap, this paper investigates how the task might be effectively regularized, and consequently proposes a multi-task l... | [
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"Mental health conditions remain underdiag-nosed even in countries with common access to advanced medical care.",
"The ability to accurately and efficiently predict mood from easily collectible data has several important implications for the early detection, intervention, and treatment of mental health disorders.... | [
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"Existing work on automated hate speech classification assumes that the dataset is fixed and the classes are pre-defined.",
"However, the amount of data in social media increases every day, and the hot topics changes rapidly, requiring the classifiers to be able to continuously adapt to new data without forgettin... | [
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"We present a data-driven, end-to-end approach to transaction-based dialog systems that performs at near-human levels in terms of verbal response quality and factual grounding accuracy.",
"We show that two essential components of the system produce these results: a sufficiently large and diverse, in-domain labele... | [
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"Models for natural language understanding (NLU) tasks often rely on the idiosyncratic biases of the dataset, which make them brittle against test cases outside the training distribution.",
"Recently, several proposed debiasing methods are shown to be very effective in improving out-of-distribution performance.",... | [
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"We present LEAR ( L exical E ntailment A ttract-R epel), a novel post-processing method that transforms any input word vector space to emphasise the asymmetric relation of lexical entailment (LE), also known as the IS-A or hyponymy-hypernymy relation.",
"By injecting external linguistic constraints (e.g., WordNe... | [
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"Decisions on state-level policies have a deep effect on many aspects of our everyday life, such as health-care and education access.",
"However, there is little understanding of how these policies and decisions are being formed in the legislative process.",
"We take a data-driven approach by decoding the impac... | [
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"Training data for NLP tasks often exhibits gender bias in that fewer sentences refer to women than to men.",
"In Neural Machine Translation (NMT) gender bias has been shown to reduce translation quality, particularly when the target language has grammatical gender.",
"The recent WinoMT challenge set allows us ... | [
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"Automatic transfer of text between domains has become popular in recent times.",
"One of its aims is to preserve the semantic content of text being translated from source to target domain.",
"However, it does not explicitly maintain other attributes between the source and translated text, for e.g., text length... | [
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"Pre-trained language models have shown stellar performance in various downstream tasks.",
"But, this usually comes at the cost of high latency and computation, hindering their usage in resource-limited settings.",
"In this work, we propose a novel approach for reducing the computational cost of BERT with minim... | [
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"Natural language processing models often have to make predictions on text data that evolves over time as a result of changes in language use or the information described in the text.",
"However, evaluation results on existing data sets are seldom reported by taking the timestamp of the document into account.",
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"The current state-of-the-art in neural graph-based parsing uses only approximate decoding at the training phase.",
"In this paper aim to understand this result better.",
"We show how recurrent models can carry out projective maximum spanning tree decoding.",
"This result holds for both current state-of-the-a... | [
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"Human languages are full of metaphorical expressions.",
"Metaphors help people understand the world by connecting new concepts and domains to more familiar ones.",
"Large pretrained language models (PLMs) are therefore assumed to encode metaphorical knowledge useful for NLP systems.",
"In this paper, we inve... | [
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"Pretrained multilingual models are able to perform cross-lingual transfer in a zero-shot setting, even for languages unseen during pretraining.",
"However, prior work evaluating performance on unseen languages has largely been limited to low-level, syntactic tasks, and it remains unclear if zero-shot learning of... | [
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"Metaphor involves not only a linguistic phenomenon, but also a cognitive phenomenon structuring human thought, which makes understanding it challenging.",
"As a means of cognition, metaphor is rendered by more than texts alone, and multimodal information in which vision/audio content is integrated with the text ... | [
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"Retrieval-based methods have been shown to be effective in NLP tasks via introducing external knowledge.",
"However, the indexing and retrieving of large-scale corpora bring considerable computational cost.",
"Surprisingly, we found that RE trieving from the tra IN ing dat A ( REINA ) only can lead to signific... | [
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"Constituency parsing and nested named entity recognition (NER) are similar tasks since they both aim to predict a collection of nested and non-crossing spans.",
"In this work, we cast nested NER to constituency parsing and propose a novel pointing mechanism for bottom-up parsing to tackle both tasks.",
"The ke... | [
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"Discourse signals are often implicit, leaving it up to the interpreter to draw the required inferences.",
"At the same time, discourse is embedded in a social context, meaning that interpreters apply their own assumptions and beliefs when resolving these inferences, leading to multiple , valid interpretations.",... | [
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"Evaluation for many natural language understanding (NLU) tasks is broken: Unreliable and biased systems score so highly on standard benchmarks that there is little room for researchers who develop better systems to demonstrate their improvements.",
"The recent trend to abandon IID benchmarks in favor of adversar... | [
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"In this paper, we propose a multi-granularity interaction network for extractive and abstractive multi-document summarization, which jointly learn semantic representations for words, sentences, and documents.",
"The word representations are used to generate an abstractive summary while the sentence representatio... | [
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"Correct natural language understanding requires computers to distinguish the literal and metaphorical senses of a word.",
"Recent neural models achieve progress on verb metaphor detection by viewing it as sequence labeling.",
"In this paper, we argue that it is appropriate to view this task as relation classif... | [
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"Commonsense reasoning is fundamental to natural language understanding.",
"While traditional methods rely heavily on human-crafted features and knowledge bases, we explore learning commonsense knowledge from a large amount of raw text via unsupervised learning.",
"We propose two neural network models based on ... | [
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"Machine translation has an undesirable propensity to produce translationese artifacts, which can lead to higher BLEU scores while being liked less by human raters.",
"Motivated by this, we model translationese and original (i.e. natural) text as separate languages in a multilingual model, and pose the question: ... | [
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"Knowledge graph (KG) representation learning techniques that learn continuous embeddings of entities and relations in the KG have become popular in many AI applications.",
"With a large KG, the embeddings consume a large amount of storage and memory.",
"This is problematic and prohibits the deployment of these... | [
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"Natural language processing covers a wide variety of tasks predicting syntax, semantics, and information content, and usually each type of output is generated with specially designed architectures.",
"In this paper, we provide the simple insight that a great variety of tasks can be represented in a single unifie... | [
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"Dynamic topic modeling facilitates the iden-tification of topical trends over time in temporal collections of unstructured documents.",
"We introduce a novel unsupervised neural dynamic topic model named as Recurrent Neural Network-Replicated Softmax Model (RNN-RSM), where the discovered topics at each time infl... | [
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"Most research in reading comprehension has focused on answering questions based on individual documents or even single paragraphs.",
"We introduce a neural model which integrates and reasons relying on information spread within documents and across multiple documents.",
"We frame it as an inference problem on ... | [
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"Machine Translation Quality Estimation (QE) aims to build predictive models to assess the quality of machine-generated translations in the absence of reference translations.",
"While state-of-the-art QE models have been shown to achieve good results, they over-rely on features that do not have a causal impact on... | [
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"Rap generation, which aims to produce lyrics and corresponding singing beats, needs to model both rhymes and rhythms.",
"Previous works for rap generation focused on rhyming lyrics but ignored rhythmic beats, which are important for rap performance.",
"In this paper, we develop DeepRapper , a Transformer-based... | [
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"The written forms of Semitic languages are both highly ambiguous and morphologically rich: a word can have multiple interpretations and is one of many inflected forms of the same concept or lemma.",
"This is further exacerbated for dialectal content, which is more prone to noise and lacks a standard orthography.... | [
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"Cross-lingual language tasks typically require a substantial amount of annotated data or parallel translation data.",
"We explore whether language representations that capture relationships among languages can be learned and subsequently leveraged in cross-lingual tasks without the use of parallel data.",
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"Document-level contextual information has shown benefits to text-based machine translation, but whether and how context helps end-to-end (E2E) speech translation (ST) is still under-studied.",
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"Evaluating Natural Language Generation (NLG) systems is a challenging task.",
"Firstly, the metric should ensure that the generated hypothesis reflects the reference's semantics.",
"Secondly, it should consider the grammatical quality of the generated sentence.",
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"Multilingual representations embed words from many languages into a single semantic space such that words with similar meanings are close to each other regardless of the language.",
"These embeddings have been widely used in various settings, such as cross-lingual transfer, where a natural language processing (N... | [
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"We study the settings for which deep contextual embeddings (e.g., BERT) give large improvements in performance relative to classic pretrained embeddings (e.g., GloVe), and an even simpler baseline random word embeddingsfocusing on the impact of the training set size and the linguistic properties of the task.",
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"Mamoru Komachi Tokyo Metropolitan University komachi@tmu.ac.jp",
"Abstract",
"An event-noun is a noun that has an argument structure similar to a predicate.",
"Recent works, including those considered state-of-the-art, ignore event-nouns or build a single model for solving both Japanese predicate argument st... | [
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"We often talk about events that impact us positively or negatively.",
"For example I got a job is good news, but I lost my job is bad news.",
"When we discuss an event, we not only understand its affective polarity but also the reason why the event is beneficial or detrimental.",
"For example, getting or los... | [
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"In the Transformer model, self-attention combines information from attended embeddings into the representation of the focal embedding in the next layer.",
"Thus, across layers of the Transformer, information originating from different tokens gets increasingly mixed.",
"This makes attention weights unreliable a... | [
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"Existing goal-oriented dialogue datasets focus mainly on identifying slots and values.",
"However, customer support interactions in reality often involve agents following multi-step procedures derived from explicitly-defined company policies as well.",
"To study customer service dialogue systems in more realis... | [
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"Data-to-text generation focuses on generating fluent natural language responses from structured meaning representations (MRs).",
"Such representations are compositional and it is costly to collect responses for all possible combinations of atomic meaning schemata, thereby necessitating few-shot generalization to... | [
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"Deep and large pre-trained language models are the state-of-the-art for various natural language processing tasks.",
"However, the huge size of these models could be a deterrent to using them in practice.",
"Some recent works use knowledge distillation to compress these huge models into shallow ones.",
"In t... | [
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"While the recent tree-based neural models have demonstrated promising results in generating solution expression for the math word problem (MWP), most of these models do not capture the relationships and order information among the quantities well.",
"This results in poor quantity representations and incorrect so... | [
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"We describe a Question Answering (QA) dataset that contains complex questions with conditional answers , i.e. the answers are only applicable when certain conditions apply.",
"Answering the questions requires compositional logical reasoning across complex context.",
"We call this dataset ConditionalQA.",
"In... | [
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"Signed languages are the primary means of communication for many deaf and hard of hearing individuals.",
"Since signed languages exhibit all the fundamental linguistic properties of natural language, we believe that tools and theories of Natural Language Processing (NLP) are crucial towards its modeling.",
"Ho... | [
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"Many efforts of research are devoted to semantic role labeling (SRL) which is crucial for natural language understanding.",
"Supervised approaches have achieved impressing performances when large-scale corpora are available for resource-rich languages such as English.",
"While for the low-resource languages wi... | [
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"Specifically, we focus on multilingual text-to-video search and propose a Transformer-based model that learns contextual multilingual multimodal embeddings.",
"Under a zero-shot setting, we empirically demonstrate that performanc... | [
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"Election manifestos document the intentions, motives, and views of political parties.",
"They are often used for analysing a party's fine-grained position on a particular issue, as well as for coarse-grained positioning of a party on the leftright spectrum.",
"In this paper we propose a two-stage model for aut... | [
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"It remains an open question whether incorporating external knowledge benefits commonsense reasoning while maintaining the flexibility of pretrained sequence models.",
"To investigate this question, we develop generated knowledge prompting, which consists of generating knowledge from a language model, then provid... | [
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"Current summarization systems only produce plain, factual headlines, but do not meet the practical needs of creating memorable titles to increase exposure.",
"We propose a new task, Stylistic Headline Generation (SHG), to enrich the headlines with three style options (humor, romance and clickbait), in order to a... | [
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[
"In this paper, we explore the slot tagging with only a few labeled support sentences (a.k.a. few-shot).",
"Few-shot slot tagging faces a unique challenge compared to the other few-shot classification problems as it calls for modeling the dependencies between labels.",
"But it is hard to apply previously learne... | [
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"Abstract meaning representation (AMR) highlights the core semantic information of text in a graph structure.",
"Recently, pre-trained language models (PLMs) have advanced tasks of AMR parsing and AMR-to-text generation, respectively.",
"However, PLMs are typically pretrained on textual data, thus are sub-optim... | [
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"Multi-source sequence generation (MSG) is an important kind of sequence generation tasks that takes multiple sources, including automatic post-editing, multi-source translation, multi-document summarization, etc.",
"As MSG tasks suffer from the data scarcity problem and recent pretrained models have been proven ... | [
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"Visual Question Answering (VQA) is a wellknown and challenging task that requires systems to jointly reason about natural language and vision.",
"Deep learning models in various forms have been the standard for solving VQA.",
"However, some of these VQA models are better at certain types of image-question pair... | [
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"Most work in relation extraction forms a prediction by looking at a short span of text within a single sentence containing a single entity pair mention.",
"This approach often does not consider interactions across mentions, requires redundant computation for each mention pair, and ignores relationships expressed... | [
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"Transformer-based QA models use input-wide self-attention i.e. across both the question and the input passage at all layers, causing them to be slow and memory-intensive.",
"It turns out that we can get by without input-wide self-attention at all layers, especially in the lower layers.",
"We introduce DeForm... | [
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"Heavily overparameterized language models such as BERT, XLNet and T5 have achieved impressive success in many NLP tasks.",
"However, their high model complexity requires enormous computation resources and extremely long training time for both pretraining and fine-tuning.",
"Many works have studied model compre... | [
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"We propose Visual Query Detection (VQD), a new visual grounding task.",
"In VQD, a system is guided by natural language to localize a variable number of objects in an image.",
"VQD is related to visual referring expression recognition, where the task is to localize only one object.",
"We describe the first d... | [
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"This paper focuses on the Data Augmentation for low-resource Natural Language Understanding (NLU) tasks.",
"We propose Prompt based D ata A ugmentation model ( PromDA ) which only trains small-scale Soft Prompt (i.e., a set of trainable vectors) in the frozen Pre-trained Language Models (PLMs).",
"This avoids ... | [
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"This starkly contrasts with the consensus in neuroscience that, in the brain, numbers are represented differently from words.",
"We arrange recent NLP work on numeracy into a comprehensive taxonomy of tasks and methods.",
"We break do... | [
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"However, when paired with strong autoregressive decoders, VAE often converges to a degenerated local optimum know... | [
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"In this paper, we propose an effective yet efficient model PAIE for both sentence-level and document-level Event Argument Extraction (EAE), which also generalizes well when there is a lack of training data.",
"On the one hand, PAIE utilizes prompt tuning for extractive objectives to take the best advantages of P... | [
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[
"Maosong Sun , Ming Gu 1 School of Software, Tsinghua University, Beijing, China 2 Department of Computer Science and Technology, Tsinghua University, Beijing, China 3 Beijing National Research Center for Information Science and Technology 4 Institute for Artificial Intelligence, Tsinghua University, Beijing, China... | [
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"To generate high-quality hashing code, both semantics and neighborhood information are crucial.",
"However, most existing methods leverage only one of them... | [
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