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Found 26 papers, 3 papers with code
Proof Net Structure for Neural Lambek Categorial Parsing
In this paper, we present the first statistical parser for Lambek categorial grammar (LCG), a grammatical formalism for which the graphical proof method known as *proof nets* is applicable.
Structural Realization with GGNNs
In this paper, we define an abstract task called structural realization that generates words given a prefix of words and a partial representation of a parse tree.
Statistically Evaluating Social Media Sentiment Trends towards COVID-19 Non-Pharmaceutical Interventions with Event Studies
In the midst of a global pandemic, understanding the public’s opinion of their government’s policy-level, non-pharmaceutical interventions (NPIs) is a crucial component of the health-policy-making process.
Does BERT Rediscover a Classical NLP Pipeline?
Does BERT store surface knowledge in its bottom layers, syntactic knowledge in its middle layers, and semantic knowledge in its upper layers?
Grammaticality and Language Modelling
Prior to the introduction of the GLUE leaderboard, the vast majority of this assessment was essentially anecdotal, and we find the use of the MCC in this regard to be problematic.
Reanalyzing the Most Probable Sentence Problem: A Case Study in Explicating the Role of Entropy in Algorithmic Complexity
These frameworks can have more power than we typically use, and so complexity measures such as worst-case running time can drastically overestimate the cost of running our algorithms.
The Chinese Remainder Theorem for Compact, Task-Precise, Efficient and Secure Word Embeddings
The growing availability of powerful mobile devices and other edge devices, together with increasing regulatory and security concerns about the exchange of personal information across networks of these devices has challenged the Computational Linguistics community to develop methods that are at once fast, space-efficient, accurate and amenable to secure encoding schemes such as homomorphic encryption.
Supertagging with CCG primitives
In this paper, we make use of the primitives and operators that constitute the lexical categories of categorial grammars.
Temporal Histories of Epidemic Events (THEE): A Case Study in Temporal Annotation for Public Health
We present a new temporal annotation standard, THEE-TimeML, and a corpus TheeBank enabling precise temporal information extraction (TIE) for event-based surveillance (EBS) systems in the public health domain.
FAB: The French Absolute Beginner Corpus for Pronunciation Training
The corpus is split into three partitions: one from an experiment with minimal feedback; another with explicit, word-level feedback; and a third with supplementary read-and-record data.
Rationally Reappraising ATIS-based Dialogue Systems
This paper presents a detailed account of these shortcomings, our proposed repairs, our rule-based grammar and the neural slot-filling architectures associated with ATIS.
Exploring spectro-temporal features in end-to-end convolutional neural networks
Triangular, overlapping Mel-scaled filters ("f-banks") are the current standard input for acoustic models that exploit their input's time-frequency geometry, because they provide a psycho-acoustically motivated time-frequency geometry for a speech signal.
Vowel and Consonant Classification through Spectral Decomposition
We consider two related problems in this paper.
