Towards the extraction of cross-sentence relations through event extraction and entity coreference

Cross-sentence relation extraction deals with the extraction of relations beyond the sentence boundary. This thesis focuses on two of the NLP tasks which are of importance to the successful extraction of cross-sentence relation mentions: event extraction and coreference resolution. The first part of the thesis focuses on addressing data sparsity issues in event extraction. We propose a self-training approach for obtaining additional labeled examples for the task. The process starts off with a Bi-LSTM event tagger trained on a small labeled data set which is used to discover new event instances in a large collection of unstructured text. The high confidence model predictions are selected to construct a data set of automatically-labeled training examples. We present several ways in which the resulting data set can be used for re-training the event tagger in conjunction with the initial labeled data. The best configuration achieves statistically significant improvement over the baseline on the ACE 2005 test set (macro-F1), as well as in a 10-fold cross validation (micro- and macro-F1) evaluation. Our error analysis reveals that the augmentation approach is especially beneficial for the classification of the most under-represented event types in the original data set. The second part of the thesis focuses on the problem of coreference resolution. While a certain level of precision can be reached by modeling surface information about entity mentions, their successful resolution often depends on semantic or world knowledge. This thesis investigates an unsupervised source of such knowledge, namely distributed word representations. We present several ways in which word embeddings can be utilized to extract features for a supervised coreference resolver. Our evaluation results and error analysis show that each of these features helps improve over the baseline coreference system’s performance, with a statistically significant improvement (CoNLL F1) achieved when the proposed features are used jointly. Moreover, all features lead to a reduction in the amount of precision errors in resolving references between common nouns, demonstrating that they successfully incorporate semantic information into the process

Measuring Semantic Relatedness Using Salient Encyclopedic Concepts

While pragmatics, through its integration of situational awareness and real world relevant knowledge, offers a high level of analysis that is suitable for real interpretation of natural dialogue, semantics, on the other end, represents a lower yet more tractable and affordable linguistic level of analysis using current technologies. Generally, the understanding of semantic meaning in literature has revolved around the famous quote ``You shall know a word by the company it keeps''. In this thesis we investigate the role of context constituents in decoding the semantic meaning of the engulfing context; specifically we probe the role of salient concepts, defined as content-bearing expressions which afford encyclopedic definitions, as a suitable source of semantic clues to an unambiguous interpretation of context. Furthermore, we integrate this world knowledge in building a new and robust unsupervised semantic model and apply it to entail semantic relatedness between textual pairs, whether they are words, sentences or paragraphs. Moreover, we explore the abstraction of semantics across languages and utilize our findings into building a novel multi-lingual semantic relatedness model exploiting information acquired from various languages. We demonstrate the effectiveness and the superiority of our mono-lingual and multi-lingual models through a comprehensive set of evaluations on specialized synthetic datasets for semantic relatedness as well as real world applications such as paraphrase detection and short answer grading. Our work represents a novel approach to integrate world-knowledge into current semantic models and a means to cross the language boundary for a better and more robust semantic relatedness representation, thus opening the door for an improved abstraction of meaning that carries the potential of ultimately imparting understanding of natural language to machines

Human Rights and the Forgotten Acts of Meaning in the Social Conventions of Conceptual Jurisprudence

This essay claims that a rupture between two languages permeates human rights discourse in contemporary Anglo-American legal thought. Human rights law is no exception. The one language is written in the sense that a signifying relation inscribed by institutional authors represents concepts. Theories of law have shared such a preoccupation with concepts. Legal rules, doctrines, principles, rights and duties exemplify legal concepts. One is mindful of the dominant tradition of Anglo-American conceptual jurisprudence in this regard. Words have been thought to copy ready-made concepts. Acts of intellectualisation and the accompanying analytic technique have excluded a consideration of a very different sense of legal language. The second sense of a language concentrates upon unwritten acts of meaning which lack a discrete and assignable author. This essay aims to unconceal the importance of an unauthored language. Drawing from Edmund Husserl’s early writings, particularly his Logical Investigations, I shall argue that an unwritten language embodies the written language with acts of meaning. An act of meaning confers one’s experiential body into the content of a concept signified in a written language. In order to understand the importance of such pre-legal acts of meaning in human rights laws, I begin by outlining how universal human rights have been signified as universal by virtue of their content-independence. I then raise the problem of the exclusion of social-cultural phenomena as elements of human rights laws. The clue to this exclusionary character of human rights law rests in the analytic leap from an unwritten to a written legal language. The essay then addresses the effort to link legality with the social world: namely, the effort of grounding legality in a social convention. I examine how a social convention itself is conceptualized, leaving the remainder of acts of meaning. This failure of social conventions to access social-cultural phenomena encourages me to turn to acts of meaning as such acts were understood by Edmund Husserl in his earlier works. Meaning-constituting acts exist prior to intuitions and prior to social conventions. This priority exists analytically as well as phenomenologically. In order to exemplify this prior character of acts of meaning, I retrieve Antigone’s experiential knowledge in Sophocles’ Antigone. Antigone’s unwritten laws are characterized by an absence of mediating concepts. I then identify several elements of an act of meaning in an unwritten language: the experiential body as the source of the acts of meaning, praeiudicia (prejudgements), collective memories, the act character of meaning, and the act of interpretation of social behaviour. My final section raises the prospect of whether human rights can be considered universal if acts of meaning are that important in the identity of a law

Developing purposeful mathematical thinking: a curious tale of apple trees

In this paper I explore aspects of the ways in which school mathematics relates to the “real” world, and argue that this relationship is an uneasy one. Through exploring the causes of this unease, I aim to expose some problems in the ways in which context is used within mathematics education, and argue that the use of context does not ensure that the purposes of mathematics are made transparent. I present and discuss a framework for task design that adopts a different perspective on mathematical understanding, and on purposeful mathematical thinking

Systems thinking and practice for action research

This chapter offers some grounding in systems thinking and practice for doing action research. There are different traditions within systems thinking and practice which, if appreciated, can become part of the repertoire for practice by action researchers. After exploring some of these lineages the differences between systemic and systematic thinking and practice are elucidated – these are the two adjectives that come from the word 'system', but they describe quite different understandings and practices. These differences are associated with epistemological awareness and distinguishing systemic action research from action research. Finally, some advantages for action research practice from engaging with systems thinking and practice are discussed

DHARMAKIRTI, DAVIDSON, AND KNOWING REALITY

If we distinguish phenomenal effects from their noumenal causes, the former being our conceptual(ized) experiences, the latter their grounds or causes in reality as it is independent of our experience, then two contradictory positions with regards to the relationship between these two can be distinguished: either phenomena are identical with their noumenal causes, or they are not. Davidson is among the most influential modern defenders of the former position, metaphysical non-dualism. Dharmakirti\u27 strict distinction between ultimate and conventional reality, on the other hand, may be one of the most rigorously elaborated theories of the opposite position, metaphysical dualism. Despite this fundamental difference, their theories about the connection between phenomena and their noumenal causes are surprisingly similar in important respects. Both Dharmakirti in his theory of apoha and Davidson in his theory of triangulation argued that the content of words or concepts depends on a process involving at least two communicating beings and shared noumenal stimuli. The main point of divergence is the nature of classification, but ultimately Dharmakirti\u27s and Davidson\u27s conclusions on the noumenal-phenomenal relationship turn out to be complementary more than contradictory, and an integrative reconstruction suggests a middle path between dualism and non-dualism

Viewing the world through a wider lens: Māori and council planning documents

My effort to convey an iwi perspective on environmental resource management - what we call kaitiakitanga – should highlight for new planners about to enter the profession that the environmental perspectives of hapū and iwi (which are provided for in the RMA), are currently not well covered in either mainstream local government planning or education