Whether the post-categorical, semantic properties of task-irrelevant speech are processed has been a source debate between two central accounts. The first, structural account, proposes that content irrelevant is filtered out early on, and thus remains unprocessed. second account is, in fact, can influence later behavior. present research offers resolution these prominent accounts by examining w...

A production system (PS) is a forward chaining rulebased system used to build large expert systems. Testing a PS must involve the construction of a covering set of test data but it is not clear what the meaning of covering a PS is and how a test data set can be measured according to coverage. We propose a test data coverage measure for a subset for PS with well defined semantics. We use a corre...

Recently, there has been great interest both in the development of cross-linguistically applicable annotation schemes and in the application of syntactic parsers at web scale to create parsebanks of online texts. The combination of these two trends to create massive, consistently annotated parsebanks in many languages holds enormous potential for the quantitative study of many linguistic phenom...

This paper presents a Chinese dependency syntax for treebanking. The syntax contains 13 word classes and 34 dependency types. A format of treebank based on the syntax is also proposed for the applications of computational and general linguistic research. Some experiments show that the treebank based on the proposed dependency syntax can be used for training and evaluating the dependency parser ...

We align pairs of English sentences and corresponding Abstract Meaning Representations (AMR), at the token level. Such alignments will be useful for downstream extraction of semantic interpretation and generation rules. Our method involves linearizing AMR structures and performing symmetrized EM training. We obtain 86.5% and 83.1% alignment F score on development and test sets.

One problem in studying the neural basis of semantic memory using functional neuroimaging is that it is often difficult to disentangle activation associated with semantic memory retrieval from that associated with episodic memory encoding and retrieval. To address this issue, a novel homophone task was used in which subjects were PET scanned whilst learning a series of real words (e.g., prey). ...

Like traditional media, social media in China is subject to censorship. However, in limited cases, activists have employed homophones of censored keywords to avoid detection by keyword matching algorithms. In this paper, we show that it is possible to scale this idea up in ways that make it difficult to defend against. Specifically, we present a non-deterministic algorithm for generating homoph...

This paper presents the syntactic annotation level of a project aimed at providing a small dialog corpus with multiple levels of annotation. The syntactic annotation is based on dependency syntax. We outline the reasons for choosing dependency, and show the syntactic annotation for some constructions. We finish by describing the current state of the project.