Ұзақ диапазонды тәуелділіктер

The model used by the CCG parser of Hockenmaier and Steedman (2002b) would fail to capture the correct bilexical dependencies in a language with freer word order, such as Dutch. …...

Conventional approaches to Chinese word segmentation treat the problem as a character- based tagging task. Recently, semi-Markov models have been applied to the problem, in- corporating features based on complete …...

The goal of language modeling techniques is to capture the statistical and structural prop- erties of natural languages from training cor- pora. This task typically involves the learning of short …...

AbstractSpectral models for learning weighted non-deterministic automata have nice theoretical and algorithmic properties. Despite this, it has been challenging to obtain competitive results in language modeling tasks, for two main …...

AbstractHuman language is often multimodal, which comprehends a mixture of natural language, facial gestures, and acoustic behaviors. However, two major challenges in modeling such multimodal human language time-series data exist: …...

AbstractDespite the recent success of deep neural networks in natural language processing and other spheres of artificial intelligence, their interpretability remains a challenge. We analyze the representations learned by neural …...

AbstractNeural encoders have allowed dependency parsers to shift from higher-order structured models to simpler first-order ones, making decoding faster and still achieving better accuracy than non-neural parsers. This has led …...

AbstractDocument-level relation extraction aims to identify relations between entities in a whole document. Prior efforts to capture long-range dependencies have relied heavily on implicitly powerful representations learned through (graph) neural …...